Works (197)

Updated: June 17th, 2024 08:23

2024 journal article

A diverse portfolio of marine protected areas can better advance global conservation and equity

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 121(10).

author keywords: marine protected areas; fishing restrictions; conservation; quasi-experiment; causal inference
UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 7, 2024

2024 journal article

DEEPKRIGING: SPATIALLY DEPENDENT DEEP NEURAL NETWORKS FOR SPATIAL PREDICTION

STATISTICA SINICA, 34(1), 291–311.

By: W. Chen*, Y. Li*, B. Reich n & Y. Sun*

author keywords: Basis function; deep learning; feature embedding; Gaussian process; spatial prediction
Sources: Web Of Science, NC State University Libraries
Added: May 28, 2024

2024 journal article

MODELING EXTREMAL STREAMFLOW USING DEEP LEARNING APPROXIMATIONS AND A FLEXIBLE SPATIAL PROCESS

ANNALS OF APPLIED STATISTICS, 18(2), 1519–1542.

By: R. Majumder n, B. Reich n & B. Shaby*

author keywords: Gaussian process; max-stable process; neural networks; spatial extremes; Vecchia ap- proximation
Sources: Web Of Science, NC State University Libraries
Added: May 7, 2024

2024 article

Measurement of Hydro-EVE and 6:2 FTS in Blood from Wilmington, North Carolina, Residents, 2017-2018

Kotlarz, N., McCord, J., Wiecha, N., Weed, R. A., Cuffney, M., Enders, J. R., … Hoppin, J. A. (2024, February). ENVIRONMENTAL HEALTH PERSPECTIVES, Vol. 132.

By: N. Kotlarz n, J. McCord*, N. Wiecha n, R. Weed*, M. Cuffney n, J. Enders n, M. Strynar*, D. Knappe n, B. Reich n, J. Hoppin n

Sources: Web Of Science, NC State University Libraries, ORCID
Added: March 21, 2024

2024 article

Modeling wildland fire burn severity in California using a spatial Super Learner approach

Simafranca, N., Willoughby, B., O'Neil, E., Farr, S., Reich, B. J., Giertych, N., … Pascolini-Campbell, M. A. (2024, March 22). ENVIRONMENTAL AND ECOLOGICAL STATISTICS, Vol. 3.

By: N. Simafranca*, B. Willoughby n, E. O'Neil*, S. Farr*, B. Reich n, N. Giertych n, M. Johnson*, M. Pascolini-Campbell*

author keywords: Ensemble prediction; Kriging; Machine learning; Remote sensing
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 15, 2024

2024 article

Reanalysis of PFO5DoA Levels in Blood from Wilmington, North Carolina, Residents, 2017-2018

Kotlarz, N., McCord, J., Wiecha, N., Weed, R. A., Cuffney, M., Enders, J. R., … Hoppin, J. A. (2024, February). ENVIRONMENTAL HEALTH PERSPECTIVES, Vol. 132.

By: N. Kotlarz n, J. McCord*, N. Wiecha n, R. Weed*, M. Cuffney n, J. Enders n, M. Strynar*, D. Knappe n, B. Reich n, J. Hoppin n

Sources: Web Of Science, NC State University Libraries, ORCID
Added: March 21, 2024

2024 journal article

Regime-based precipitation modeling: A spatio-temporal approach

SPATIAL STATISTICS, 60.

By: C. Euan*, Y. Sun* & B. Reich n

author keywords: Spatio-temporal statistics; Precipitation model; TAR models; Hierarchical spatiotemporal models; INLA
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 28, 2024

2024 article

The R2D2 Prior for Generalized Linear Mixed Models

Yanchenko, E., Bondell, H. D., & Reich, B. J. (2024, May 23). AMERICAN STATISTICIAN, Vol. 5.

By: E. Yanchenko*, H. Bondell* & B. Reich n

author keywords: Bayesian modeling; Coefficient of determination; Generalized beta prime distribution; Goodness-of-fit
Sources: Web Of Science, NC State University Libraries
Added: June 3, 2024

2023 journal article

A Data-Fusion Approach to Assessing the Contribution of Wildland Fire Smoke to Fine Particulate Matter in California

REMOTE SENSING, 15(17).

author keywords: Bayesian analysis; calibration; citizen science; spatiotemporal methods; spectral analysis
Sources: ORCID, Web Of Science, NC State University Libraries
Added: September 3, 2023

2023 journal article

A PENALIZED COMPLEXITY PRIOR FOR DEEP BAYESIAN TRANSFER LEARNING WITH APPLICATION TO MATERIALS INFORMATICS

ANNALS OF APPLIED STATISTICS, 17(4), 3241–3256.

By: M. Abba n, J. Williams n & B. Reich n

author keywords: Kullback-Leibler divergence; materials science; neural networks; variational Bayesian inference
TL;DR: This work proposes a new Bayesian transfer learning approach based on the penalized complexity prior on the Kullback-Leibler divergence between the predictive models of the source and target tasks and shows that the proposed method outperforms other transfer learning methods across a variety of settings. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 25, 2024

2023 journal article

A cross-sectional analysis of medical conditions and environmental factors associated with fractional exhaled nitric oxide (FeNO) in women and children from the ISA birth cohort, Costa Rica

ENVIRONMENTAL RESEARCH, 233.

By: D. Werthmann n, B. Joode*, M. Cuffney n, B. Reich n, M. Soto-Martinez*, A. Corrales-Vargas*, L. Palomo-Cordero*, J. Penaloza-Castanedac, J. Hoppin n

author keywords: Asthma FeNO pesticides environment rhinitis; wheeze
TL;DR: Rinitis and wheeze were associated with elevated FeNO in this rural, agricultural population of women and children, and smoke from waste burning as well as para-occupational pesticide exposure may contribute to elevatedFeNO in rural communities. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: June 25, 2023

2023 journal article

A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting

SPATIAL STATISTICS, 55.

By: R. Majumder n & B. Reich n

author keywords: Climate change; Deep learning; Density regression; Gaussian process; Max -stable processes; Vecchia approximation
TL;DR: A non-stationary process mixture model (NPMM) for annual streamflow maxima over the central US which uses downscaled climate model precipitation projections to forecast extremal streamflow and is flexible with desirable tail dependence properties, but yields an intractable likelihood. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: June 19, 2023

2023 article

A nonparametric test of group distributional differences for hierarchically clustered functional data

Long, A. S., Reich, B. J., Staicu, A.-M., & Meitzen, J. (2023, March 13). BIOMETRICS, Vol. 3.

By: A. Long n, B. Reich n, A. Staicu n & J. Meitzen n

author keywords: bivariate functional data; functional data analysis; hierarchically clustered data; multivariate testing
TL;DR: This paper proposes a method to test for differences in the electrophysiological properties across estrous cycle phase without first defining a metric of interest by modeling membrane potential data in the frequency domain as realizations of a bivariate process by adopting existing methods for longitudinal functional data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: March 27, 2023

2023 journal article

Beyond Simple Trend Tests: Detecting Significant Changes in Design-Flood Quantiles

GEOPHYSICAL RESEARCH LETTERS, 50(13).

author keywords: design-flood estimation; trend tests; climate change; water-infrastructure safety; non-stationary flood
Sources: Web Of Science, NC State University Libraries, ORCID
Added: July 19, 2023

2023 journal article

Cretaceous climates: Mapping paleo-Koppen climatic zones using a Bayesian statistical analysis of lithologic, paleontologic, and geochemical proxies

PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, 613.

By: L. Burgener*, E. Hyland n, B. Reich n & C. Scotese*

author keywords: Paleoclimate; Cretaceous; Koppen; Palaeogeography; Bayesian statistics; Climate proxies; GIS
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
14. Life Below Water (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: October 10, 2023

2023 article

Distributed Inference for Spatial Extremes Modeling in High Dimensions

Hector, E. C., & Reich, B. J. (2023, April 12). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 4.

By: E. Hector n & B. Reich n

author keywords: Bias-variance tradeoff; Brown-Resnick process; Divide-and-conquer; Scalable computing
TL;DR: A spatial partitioning approach based on local modeling of subsets of the spatial domain that delivers computationally and statistically efficient inference and leads to a surprising reduction in bias of parameter estimates over a full data approach is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: May 9, 2023

2023 article

Estimating atmospheric motion winds from satellite image data using space-time drift models

Sahoo, I., Guinness, J., & Reich, B. J. J. (2023, July 6). ENVIRONMETRICS, Vol. 7.

By: I. Sahoo*, J. Guinness* & B. Reich n

author keywords: asymmetry; derived motion winds; GOES-15; local maximum likelihood estimation; spatial smoothing; spatio-temporal processes
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: July 19, 2023

2023 journal article

Residential Structural Racism and Prevalence of Chronic Health Conditions

JAMA NETWORK OPEN, 6(12).

By: D. Mohottige*, C. Davenport*, N. Bhavsar*, T. Schappe*, M. Lyn*, P. Maxson*, F. Johnson*, A. Planey* ...

TL;DR: An increased burden of structural racism indicators, including global and discrete measures, were associated with greater neighborhood prevalence of chronic kidney disease, diabetes, and hypertension in Durham County. (via Semantic Scholar)
UN Sustainable Development Goal Categories
1. No Poverty (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: February 26, 2024

2023 article

Spatial regression modeling via the R2D2 framework

Yanchenko, E., Bondell, H. D., & Reich, B. J. (2023, October 27). ENVIRONMETRICS, Vol. 10.

By: E. Yanchenko n, H. Bondell* & B. Reich n

author keywords: Bayesian inference; coefficient-of-determination; Gaussian process; generalized beta prime distribution; penalized regression
TL;DR: The effect of marine policies on biodiversity is estimated and it is concluded that no‐take restrictions lead to a slight increase in biodiversity and that the majority of the variance in the linear predictor comes from the spatial effect. (via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: November 6, 2023

2023 journal article

Spatio-temporal DeepKriging for interpolation and probabilistic forecasting

SPATIAL STATISTICS, 57.

By: P. Nag*, Y. Sun* & B. Reich n

author keywords: Deep learning; Feature embedding; Long-short term memory forecasting; Quantile machine learning; Radial basis function; Spatio-temporal modeling
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: October 30, 2023

2022 journal article

A SPATIAL CAUSAL ANALYSIS OF WILDLAND FIRE-CONTRIBUTED PM2.5 USING NUMERICAL MODEL OUTPUT

ANNALS OF APPLIED STATISTICS, 16(4), 2714–2731.

By: A. Larsen*, S. Yang n, B. Reich n & A. Rappold*

author keywords: Bayesian analysis; downscaling; interference; spillover effect
Sources: Web Of Science, NC State University Libraries
Added: November 14, 2022

2022 article

A discrete-time survival model for porcine epidemic diarrhoea virus

Trostle, P., Corzo, C. A., Reich, B. J., & Machado, G. (2022, October 29). TRANSBOUNDARY AND EMERGING DISEASES, Vol. 10.

By: P. Trostle n, C. Corzo*, B. Reich n & G. Machado n

author keywords: local transmission; PED; porcine epidemic disease
MeSH headings : Animals; United States / epidemiology; Swine; Porcine epidemic diarrhea virus; Bayes Theorem; Coronavirus Infections / epidemiology; Coronavirus Infections / prevention & control; Coronavirus Infections / veterinary; Swine Diseases / epidemiology; Swine Diseases / prevention & control; Movement
TL;DR: Strong evidence is found that the local-transmission and pig-movement effects are associated with the spread of PEDV, even while controlling for seasonality, farm-level features, and the possible spread of disease by vehicles. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: October 12, 2022

2022 journal article

Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 117(538), 862–874.

By: Y. Zhang*, B. Naughton n, H. Bondell* & B. Reich n

author keywords: Beta-prime distribution; Coefficient of determination; Global-local shrinkage; High-dimensional regression
Sources: Web Of Science, NC State University Libraries
Added: November 30, 2020

2022 journal article

Bayesian spatial modeling using random Fourier frequencies

SPATIAL STATISTICS, 48.

By: M. Miller n & B. Reich n

author keywords: Bayesian statistics; Low-rank approximations; Spectral methods; Hamiltonian Monte Carlo
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: May 16, 2022

2022 article

Discussion on "Spatial plus : A novel approach to spatial confounding" by Dupont, Wood, and Augustin

Reich, B. J., Yang, S., & Guan, Y. (2022, March 30). BIOMETRICS, Vol. 3.

By: B. Reich n, S. Yang n & Y. Guan*

MeSH headings : Models, Statistical
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: April 8, 2022

2022 journal article

Estimating intervention effects on infectious disease control: The effect of community mobility reduction on Coronavirus spread

SPATIAL STATISTICS, 52.

By: A. Giffin n, W. Gong n, S. Majumder*, A. Rappold*, B. Reich n & S. Yang n

author keywords: Causal inference; COVID-19; Spatiotemporal modeling; SIR model
TL;DR: A spatiotemporal model is proposed that estimates the causal effect of changes in community mobility (intervention) on infection rates and suggests that the reductions in mobility decrease Coronavirus cases 4 to 7 weeks after the intervention. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: November 21, 2022

2022 journal article

Exposure to common-use pesticides, manganese, lead, and thyroid function among pregnant women from the Infants' Environmental Health (ISA) study, Costa Rica

SCIENCE OF THE TOTAL ENVIRONMENT, 810.

By: A. Vargas*, J. Castaneda*, E. Liljedahl*, A. Mora*, J. Menezes-Filho*, D. Smith*, D. Mergler*, B. Reich n ...

author keywords: Thyroid function; Endocrine disruptors; Pesticides; Metals; Latin America
MeSH headings : Bayes Theorem; Costa Rica; Environmental Exposure / adverse effects; Female; Humans; Infant; Lead / adverse effects; Manganese / adverse effects; Pesticides / adverse effects; Pregnancy; Pregnant Women; Thyroid Gland / physiopathology; Thyrotropin; Thyroxine; Triiodothyronine
TL;DR: Mancozeb (ETU) and pyrimethanil may inhibit FT4 secretion (hypothyroidism-like effect), while chlorpyrifos, pyrethroids, MnB, MnH, PbB and Mn showed hyperthyroidism -like effects. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: April 4, 2022

2022 article

Generalized propensity score approach to causal inference with spatial interference

Giffin, A., Reich, B. J., Yang, S., & Rappold, A. G. (2022, September 19). BIOMETRICS, Vol. 9.

By: A. Giffin n, B. Reich n, S. Yang n & A. Rappold*

author keywords: air pollution; causal inference; interference; spatial process; wildfire
Sources: Web Of Science, NC State University Libraries
Added: October 3, 2022

2022 journal article

Geostatistical modeling of positive-definite matrices: An application to diffusion tensor imaging

BIOMETRICS, 78(2), 548–559.

By: Z. Lan*, B. Reich, J. Guinness, D. Bandyopadhyay, L. Ma & F. Moeller

author keywords: Cholesky decomposition; diffusion tensor imaging; geostatistical modeling; positive‐ definite matrix; spatial random fields; spatial Wishart process
MeSH headings : Computer Simulation; Diffusion Tensor Imaging; Normal Distribution; Stochastic Processes
TL;DR: An approximation method is proposed to obtain a feasible Cholesky decomposition model, which is shown to be asymptotically equivalent to the spatial Wishart process model and to produce reliable inference and improved performance, compared to other methods. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: March 8, 2021

2022 journal article

Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods

STATISTICS AND COMPUTING, 32(5).

By: S. Majumder n, Y. Guan*, B. Reich n & A. Saibaba n

author keywords: Approximate inference; Profile likelihood; Block Toeplitz matrix; Fast Fourier transform; Krylov subspace methods; Golub-Kahan bidiagonalization
TL;DR: A novel approximate inference methodology that uses profile likelihood and Krylov subspace methods to estimate the spatial covariance parameters and makes spatial predictions with uncertainty quantification for point-referenced spatial data is presented. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
15. Life on Land (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: September 19, 2022

2022 article

Nonparametric conditional density estimation in a deep learning framework for short-term forecasting (May, 10.1007/s10651-021-00499-z, 2021)

Huberman, D. B., Reich, B. J., & Bondell, H. D. (2022, August 26). ENVIRONMENTAL AND ECOLOGICAL STATISTICS, Vol. 8.

By: D. Huberman n, B. Reich n & H. Bondell*

Sources: Web Of Science, NC State University Libraries
Added: September 6, 2022

2022 journal article

Pyrimethanil and chlorpyrifos air concentrations and pregnant women's urinary metabolites in the Infants' Environmental Health Study (ISA) Costa Rica ,

ENVIRONMENT INTERNATIONAL, 166.

By: A. Giffin n, J. Hoppin n, L. Cordoba*, K. Solano-Diaz*, C. Ruepert*, J. Penaloza-Castaneda*, C. Lindh*, B. Reich n, B. Joode*

author keywords: Urinary pesticide metabolites; Airborne pesticide exposure; Spatiotemporal model; Environmental exposure; Pesticides; Insecticides; Fungicides
TL;DR: The results suggest inhalation of pyrimethanil and chlorpyrifos is a pathway of environmental exposure, and passive air samplers seems a useful technique to monitor environmental current-use pesticide exposures. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: July 11, 2022

2022 article

Respiratory and allergic outcomes among 5-year-old children exposed to pesticides

Islam, J. Y., Hoppin, J., Mora, A. M., Soto-Martinez, M. E., Cordoba Gamboa, L., Penaloza Castaneda, J. E., … Joode, B. (2022, February 24). THORAX, Vol. 2.

By: J. Islam n, J. Hoppin n, A. Mora*, M. Soto-Martinez*, L. Cordoba Gamboa*, J. Penaloza Castaneda*, B. Reich n, C. Lindh*, B. Joode*

author keywords: asthma epidemiology; paediatric asthma; respiratory infection
MeSH headings : Infant; Pregnancy; Female; Humans; Child, Preschool; Pesticides / toxicity; Cough; Asthma; Rhinitis, Allergic; Respiratory Tract Infections; Pyrethrins; Exanthema
TL;DR: Current pyrethroid exposure may affect children’s respiratory and allergic health at 5 years of age as pyrethroids are broadly used in home environments and agriculture and mancozeb in agriculture. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 28, 2022

2022 article

Soil Properties and Moisture Synergistically Influence Nontuberculous Mycobacterial Prevalence in Natural Environments of Hawai'i

Parsons, A. W., Dawrs, S. N., Nelson, S. T., Norton, G. J., Virdi, R., Hasan, N. A., … Honda, J. R. (2022, April 18). APPLIED AND ENVIRONMENTAL MICROBIOLOGY, Vol. 4.

By: A. Parsons n, S. Dawrs*, S. Nelson*, G. Norton*, R. Virdi*, N. Hasan*, L. Epperson*, B. Holst* ...

author keywords: nontuberculous mycobacteria; Hawai'i; environmental niches; spatial modeling
MeSH headings : Hawaii / epidemiology; Humans; Iron; Lung Diseases; Mycobacterium Infections, Nontuberculous / epidemiology; Mycobacterium Infections, Nontuberculous / microbiology; Nontuberculous Mycobacteria; Oxides; Prevalence; Soil; United States
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 10, 2022

2022 article

Spectral adjustment for spatial confounding

Guan, Y., Page, G. L., Reich, B. J., Ventrucci, M., & Yang, S. (2022, December 21). BIOMETRIKA, Vol. 12.

By: Y. Guan*, G. Page*, B. Reich n, M. Ventrucci* & S. Yang n

author keywords: Coherence; Conditional autoregressive prior; COVID-19; Matern covariance; Spatial confounding
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: March 13, 2023

2022 article

Statistical analysis of multi-day solar irradiance using a threshold time series model

Euan, C., Sun, Y., & Reich, B. J. (2022, January 20). ENVIRONMETRICS, Vol. 1.

By: C. Euan*, Y. Sun* & B. Reich n

author keywords: clear-sky index; nonlinear models; TAR model; time series; weighted least squares
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: February 7, 2022

2022 article

Valid Model-Free Spatial Prediction

Mao, H., Martin, R., & Reich, B. J. J. (2022, December 17). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 12.

By: H. Mao*, R. Martin n & B. Reich n

author keywords: Conformal prediction; Gaussian process; Kriging; Nonstationary; Plausibility
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: January 23, 2023

2022 article

What drives spatially varying ecological relationships in a wide-ranging species?

Pease, B. S., Pacifici, K., Kays, R., & Reich, B. (2022, July 4). DIVERSITY AND DISTRIBUTIONS, Vol. 7.

By: B. Pease*, K. Pacifici n, R. Kays n & B. Reich n

author keywords: American black bear; niche conservatism; spatial non-stationarity; species-environment relationships; Ursus americanus
TL;DR: This work has suggested that niche traits that are conserved should reflect the evolutionary history of a species whereas more flexible ecological traits could vary at finer scales, reflecting local adaptation. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: July 5, 2022

2021 journal article

A BAYESIAN SEMI-PARAMETRIC MIXTURE MODEL FOR BIVARIATE EXTREME VALUE ANALYSIS WITH APPLICATION TO PRECIPITATION FORECASTING

STATISTICA SINICA, 31(3), 1619–1641.

By: Y. Tian* & B. Reich*

author keywords: Bivariate extreme value model; generalized Pareto distribution; hierarchical model; tail dependence
MeSH headings : Bayes Theorem; Models, Statistical; Psychometrics
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: July 26, 2021

2021 article

A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications

INTERNATIONAL STATISTICAL REVIEW, Vol. 5.

author keywords: interference; potential outcomes; propensity scores; spatial confounding; spillover
TL;DR: The methods are introduced in the context of observational environmental and epidemiological studies and are compared using both a simulation study and analysis of the effect of ambient air pollution on COVID‐19 mortality rate. (via Semantic Scholar)
Source: NC State University Libraries
Added: June 18, 2021

2021 journal article

A spatial Bayesian semiparametric mixture model for positive definite matrices with applications in diffusion tensor imaging

CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 49(1), 129–149.

By: Z. Lan n, B. Reich n & D. Bandyopadhyay*

author keywords: Diffusion tensor imaging; inverse Wishart distribution; matrix variate; positive definite matrix; spatial statistics
TL;DR: A matrix‐variate Bayesian semiparametric mixture model is proposed, where the p.d. matrices are distributed as a mixture of inverse Wishart distributions, with the spatial dependence captured by a Markov model for the mixture component labels. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: February 15, 2021

2021 article

A spatiotemporal recommendation engine for malaria control

Guan, Q., Reich, B. J., & Laber, E. B. (2021, April 10). BIOSTATISTICS, Vol. 4.

By: Q. Guan n, B. Reich n & E. Laber n

author keywords: Infectious disease; Malaria; Resource allocation; Sequential optimization; Satiotemporal model
MeSH headings : Bayes Theorem; Humans; Malaria / prevention & control; Resource Allocation
TL;DR: The estimated optimal policy under the proposed framework improves the cumulative long-term outcome compared with naive approaches in both simulation experiments and application to malaria interventions in the Democratic Republic of the Congo. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 28, 2022

2021 article

Accounting for Location Measurement Error in Imaging Data With Application to Atomic Resolution Images of Crystalline Materials

Miller, M. J., Cabral, M. J., Dickey, E. C., LeBeau, J. M., & Reich, B. J. (2021, April 28). TECHNOMETRICS, Vol. 4.

By: M. Miller n, M. Cabral n, E. Dickey*, J. LeBeau* & B. Reich n

Contributors: M. Miller n, M. Cabral n, E. Dickey*, J. LeBeau* & B. Reich n

author keywords: Bayesian hierarchical modeling; Materials science; Scanning transmission electron microscopy; Spatial statistics; Image analysis
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: June 28, 2021

2021 article

Bayesian nonparametric quantile process regression and estimation of marginal quantile effects

Xu, S. G., & Reich, B. J. (2021, November 10). BIOMETRICS, Vol. 11.

By: S. Xu n & B. Reich n

author keywords: density regression; Hamiltonian Monte Carlo; interpretable machine learning; simultaneous quantile estimation
MeSH headings : Female; Pregnancy; Humans; Regression Analysis; Birth Weight; Bayes Theorem; Computer Simulation; Neural Networks, Computer
TL;DR: A Bayesian nonparametric method to simultaneously estimate noncrossing, nonlinear quantile curves and expands the conditional distribution function of the response in I‐spline basis functions where the covariate‐dependent coefficients are modeled using neural networks. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: November 23, 2021

2021 article

Bayesian variable selection for high-dimensional rank data

Cui, C., Singh, S. P., Staicu, A.-M., & Reich, B. J. (2021, May 24). ENVIRONMETRICS, Vol. 5.

By: C. Cui n, S. Singh n, A. Staicu n & B. Reich n

author keywords: Bayesian variable selection; high dimensional rank model; microbiome data
TL;DR: This paper analyzes a global dataset to investigate environmental factors that affect topsoil microbiome and proposes transforming to taxa ranks and developing a Bayesian variable selection model that uses ranks to identify covariates that influence microbiome composition. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: June 10, 2021

2021 journal article

Deep distribution regression

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 159.

By: R. Li n, B. Reich n & H. Bondell*

author keywords: Conditional distribution; Deep learning; Machine learning; Probabilistic forecasting
TL;DR: This article proposes a novel joint binary cross-entropy loss function to accomplish a conditional distribution estimation problem into a constrained multi-class classification problem, in which tools such as deep neural networks are used. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: May 10, 2021

2021 article

Environmental exposures contribute to respiratory and allergic symptoms among women living in the banana growing regions of Costa Rica

Alhanti, B., Joode, B. van W., Martinez, M. S., Mora, A. M., Gamboa, L. C., Reich, B., … Hoppin, J. A. (2021, December 30). OCCUPATIONAL AND ENVIRONMENTAL MEDICINE, Vol. 12.

By: B. Alhanti n, B. Joode*, M. Martinez*, A. Mora*, L. Gamboa*, B. Reich n, C. Lindh*, M. Lepiz*, J. Hoppin n

author keywords: asthma; respiratory disease; allergy; pesticide; agriculture
MeSH headings : Asthma / epidemiology; Cohort Studies; Costa Rica / epidemiology; Eczema / epidemiology; Environmental Exposure / adverse effects; Exanthema / epidemiology; Female; Humans; Hypersensitivity / epidemiology; Musa; Pesticides / adverse effects; Respiratory Tract Diseases / epidemiology; Rhinitis / epidemiology; Smoke / adverse effects
TL;DR: Findings suggest that environmental exposure to both pesticides and smoke may impact respiratory and skin-related allergic outcomes in women. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: December 31, 2021

2021 article

Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty

Sass, D., Li, B., & Reich, B. J. (2021, July 18). JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, Vol. 7.

By: D. Sass*, B. Li* & B. Reich n

author keywords: Fused lasso; Fused ridge; Generalized extreme value distribution; Generalized Pareto distribution; Spatial extremes
TL;DR: A flexible and fast approach based on the spatial GEV and spatial GPD is proposed by introducing fused lasso and fused ridge penalty for parameter regularization that enables improved return level estimation for large spatial extremes compared to the existing methods. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 2, 2021

2021 journal article

Landscape‐level variation in <i>Bt crops predict <scp> <i>Helicoverpa ze <scp> <i>a ( <scp>Lepidoptera: Noctuidae ) resistance in cotton agroecosystems

Landscape‐level variation in Bt crops predict . Pest Management Science, 77(12), 5454–5462.

By: S. Dorman n, K. Hopperstad n, B. Reich n, S. Majumder n, G. Kennedy n, D. Reisig n, J. Greene*, F. Reay‐Jones* ...

author keywords: Bt resistance; bollworm; crop intensity; Helicoverpa zea; risk assessment
MeSH headings : Animals; Bacillus thuringiensis / genetics; Bacterial Proteins / genetics; Endotoxins; Gossypium; Hemolysin Proteins / genetics; Insecticide Resistance; Moths / genetics; Plants, Genetically Modified / genetics; Zea mays / genetics
TL;DR: Landscape-level predictors of H. zea damage in Bt cotton can be used to identify heightened Bt resistance risk areas and serves as a model to understand factors that drive pest resistance evolution to Bt toxins in the southeastern United States. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID, Crossref
Added: August 30, 2021

2021 journal article

Long-term, medium spatial resolution annual land surface phenology with a Bayesian hierarchical model

REMOTE SENSING OF ENVIRONMENT, 261.

By: X. Gao n, J. Gray n & B. Reich n

author keywords: Remote sensing; Land surface phenology; Landsat; Bayesian; Long-term; Medium resolution; Time series; Plant phenology; Data sparsity
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: June 14, 2021

2021 journal article

Multi-model penalized regression

STATISTICAL ANALYSIS AND DATA MINING, 14(6), 698–722.

By: L. Wendelberger n, B. Reich n & A. Wilson n

author keywords: model averaging; model uncertainty; penalized regression; variable selection
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: February 1, 2021

2021 article

Multisensor fusion of remotely sensed vegetation indices using space-time dynamic linear models

Johnson, M. C., Reich, B. J., & Gray, J. M. (2021, May 21). JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, Vol. 5.

By: M. Johnson n, B. Reich n & J. Gray n

author keywords: data fusion; dynamic linear models; remote sensing; spatiotemporal analysis
TL;DR: A space‐time dynamic linear model is proposed to fuse high temporal frequency data (MODIS) with high spatial resolution data (Landsat) to create high spatiotemporal resolution data products of a vegetation greenness index. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
15. Life on Land (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: June 10, 2021

2021 journal article

Multivariate spatial prediction of air pollutant concentrations with INLA

ENVIRONMENTAL RESEARCH COMMUNICATIONS, 3(10).

By: W. Gong n, B. Reich n & H. Chang*

author keywords: air pollution; CMAQ; geostatistical model; INLA; linear model of coregionalization
TL;DR: A spatial multipollutant data fusion model that combines monitoring measurements and chemical transport model simulations that leverages dependence between pollutants to improve spatial prediction and provides model-based prediction error estimates is described. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: November 8, 2021

2021 article

Nonparametric conditional density estimation in a deep learning framework for short-term forecasting

Huberman, D. B., Reich, B. J., & Bondell, H. D. (2021, May 20). ENVIRONMENTAL AND ECOLOGICAL STATISTICS, Vol. 5.

By: D. Huberman n, B. Reich n & H. Bondell*

author keywords: Case&#8211; control sampling; Conditional distribution estimation; Deep learning; Environmental statistics; Machine learning; Nonparametric statistics
TL;DR: A technique that simultaneously estimates the entire conditional distribution and flexibly allows for machine learning techniques to be incorporated is proposed, and further computational developments can fully unlock its insights in more complex forecasting and other applications. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: June 10, 2021

2021 journal article

Sequential Optimization in Locally Important Dimensions

TECHNOMETRICS, 63(2), 236–248.

By: M. Winkel n, J. Stallrich n, C. Storlie* & B. Reich n

author keywords: Augmented expected improvement; Bayesian analysis; Computer experiments; Gaussian process; Local importance; Sequential design
TL;DR: A sequential design algorithm called sequential optimization in locally important dimensions (SOLID) is developed that incorporates global and local variable selection to optimize a continuous, differentiable function. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 16, 2020

2021 journal article

Soybeans as a non-Bt refuge for Helicoverpa zea in maize-cotton agroecosystems

Agriculture, Ecosystems & Environment, 322, 107642.

By: S. Dorman*, K. Hopperstad*, B. Reich*, G. Kennedy* & A. Huseth*

author keywords: Bollworm; Bt-refuge; Resistance management; Risk description; Row crops
TL;DR: Soybeans in North Carolina and southeastern U.S. likely serves as a critical non-Bt refuge for delaying H. zea resistance to Bt toxins in landscapes dominated by Bt maize and cotton, and inverse distance weighted (IDW) soybeans is the most important predictor of H.Zea abundance through time in row crop agroecosystems inNorth Carolina. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries, Crossref, ORCID
Added: November 1, 2021

2021 article

Spatial Shrinkage Via the Product Independent Gaussian Process Prior

Roy, A., Reich, B. J., Guinness, J., Shinohara, R. T., & Staicu, A.-M. (2021, June 16). JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, Vol. 6.

By: A. Roy*, B. Reich n, J. Guinness*, R. Shinohara* & A. Staicu n

author keywords: Bayesian; High dimension; Image regression; Multiple sclerosis; Shrinkage; Spatial data analysis
TL;DR: An efficient computation algorithm based on spectral methods is developed to model continuous signals that are sparse and piecewise-smooth as the product of independent Gaussian processes with a smooth covariance kernel for sparse signal detection on a spatial domain. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: July 12, 2021

2021 journal article

Statistical Downscaling with Spatial Misalignment: Application to Wildland Fire PM2.5 Concentration Forecasting

JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 26(1), 23–44.

By: S. Majumder n, Y. Guan*, B. Reich n, S. O'Neill* & A. Rappold*

author keywords: Image registration; Public health; Smoothing; Warping
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: November 2, 2020

2020 article

A deep learning approach to identify smoke plumes in satellite imagery in near-real time for health risk communication

JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY.

By: A. Larsen*, I. Hanigan*, B. Reich n, Y. Qin*, M. Cope*, G. Morgan*, A. Rappold*

MeSH headings : Air Pollutants / analysis; Australia; Communication; Deep Learning; Fires; Humans; Satellite Imagery; Smoke / analysis
TL;DR: A deep fully convolutional neural network (FCN) for predicting fire smoke in satellite imagery in near-real time (NRT) has high potential as an exposure-assessment tool, capable of providing critical information to fire managers, health and environmental agencies, and the general public. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 10, 2020

2020 journal article

A multivariate spatial skew-t process for joint modeling of extreme precipitation indexes

ENVIRONMETRICS, 31(3).

By: A. Hazra*, B. Reich n & A. Staicu n

author keywords: climate change; extremal dependence; extremal trend analysis; extreme precipitation indexes; multivariate spatial skew-t process; separable covariance
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: November 18, 2019

2020 journal article

Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 115(531), 1066–1078.

By: Q. Guan n, B. Reich n, E. Laber n & D. Bandyopadhyay*

author keywords: Dirichlet process prior; Dynamic treatment regimes; Observational data; Periodontal disease; Practice-based setting; Precision medicine; Sequential optimization
TL;DR: Simulation experiments and application to a rich database of electronic dental records from the HealthPartners HMO shows that the proposed method leads to better dental health without increasing the average recommended recall time relative to competing methods. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: October 28, 2019

2020 journal article

Estimating the drivers of species distributions with opportunistic data using mediation analysis

ECOSPHERE, 11(6).

By: D. Huberman n, B. Reich n, K. Pacifici n & J. Collazo n

author keywords: mediation analysis; occupancy modeling; opportunistic data; spatial statistics
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 10, 2020

2020 journal article

Fine-Scale Spatiotemporal Air Pollution Analysis Using Mobile Monitors on Google Street View Vehicles

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 115(531), 1111–1124.

author keywords: Google Street View Air Quality Data; Kriging; Mobile sensors; Spatiotemporal models; Vecchia approximation
TL;DR: A computationally efficient spatiotemporal model is developed for publicly available, fine-scale, high-quality air pollution measurements acquired using mobile monitors to provide real-time air pollution maps and short-term air quality forecasts on a fine-resolution spatial scale. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: October 28, 2019

2020 journal article

Global forensic geolocation with deep neural networks

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 69(4), 909–929.

By: N. Grantham n, B. Reich n, E. Laber n, K. Pacifici n, R. Dunn n, N. Fierer*, M. Gebert*, J. Allwood n, S. Faith n

author keywords: Citizen science; Machine learning; Microbiome; Non-homogeneous Poisson process; Spatial point pattern
TL;DR: The DeepSpace algorithm makes remarkably good point predictions; for example, when applied to the microbiomes of over 1300 dust samples collected across continental USA, more than half of geolocated predictions produced by this model fall less than 100 km from their true origin, which is a 60% reduction in error from competing geolocation methods. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: July 6, 2020

2020 journal article

INTEGRATIVE STATISTICAL METHODS FOR EXPOSURE MIXTURES AND HEALTH

ANNALS OF APPLIED STATISTICS, 14(4), 1945–1963.

By: B. Reich n, Y. Guan*, D. Fourches n, J. Warren*, S. Sarnat* & H. Chang*

author keywords: Cheminformatics; collinearity; factor analysis; principal components; stochastic search; variable selection
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: March 1, 2021

2020 journal article

MIMIX: A Bayesian Mixed-Effects Model for Microbiome Data From Designed Experiments

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 115(530), 599–609.

By: N. Grantham n, Y. Guan n, B. Reich n, E. Borer* & K. Gross n

author keywords: Continuous shrinkage prior; Factor analysis; Microbiome; Mixed model; Nutrient Network; OTU abundance data
TL;DR: A novel Bayesian mixed-effects model that exploits cross-taxa correlations within the microbiome, a model the authors call microbiome mixed model (MIMIX), tailored to large microbiome experiments using a combination of Bayesian factor analysis to efficiently represent dependence between taxa and Bayesian variable selection methods to achieve sparsity. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: July 22, 2019

2020 journal article

SPARSE BAYESIAN ADDITIVE NONPARAMETRIC REGRESSION WITH APPLICATION TO HEALTH EFFECTS OF PESTICIDES MIXTURES

STATISTICA SINICA, 30(1), 55–79.

By: R. Wei, B. Reich*, J. Hoppin* & S. Ghosal

author keywords: Additive nonparametric regression; Bayesian variable selection; continuous shrinkage prior; environmental epidemiology; posterior consistency
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: October 26, 2020

2020 journal article

Spatiotemporal signal detection using continuous shrinkage priors

STATISTICS IN MEDICINE, 39(13), 1817–1832.

By: A. Jhuang*, M. Fuentes*, D. Bandyopadhyay* & B. Reich n

author keywords: nonstationary covariance; periodontal disease; shrinkage priors; space-time disease surveillance
TL;DR: A Bayesian spatiotemporal model is introduced to detect problematic/diseased tooth‐sites dynamically inside the mouth for any subject obtained from large databases, and reveals improved prediction performances, compared with alternative models with usual Gaussian priors for regression parameters and conditionally autoregressive specification of the covariance structure. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: March 16, 2020

2020 journal article

Transitioning Machine Learning from Theory to Practice in Natural Resources Management

Ecological Modelling, 435, 109257.

By: S. Saia, N. Nelson, A. Huseth, K. Grieger & B. Reich

author keywords: Machine learning; Natural resources management; Stakeholders; Decision-support tools; Decision-making; Process-based modeling
TL;DR: Recommendations are offered on how the ecological modelling community can overcome key barriers preventing ML model use in natural resources management and advance the profession towards data-driven decision-making. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: October 19, 2020

2020 journal article

Use of standardized bioinformatics for the analysis of fungal DNA signatures applied to sample provenance

FORENSIC SCIENCE INTERNATIONAL, 310.

By: J. Allwood n, N. Fierer*, R. Dunn n, M. Breen n, B. Reich n, E. Laber n, J. Clifton n, N. Grantham n, S. Faith n

author keywords: Forensic microbiology; Bioinformatics; Metabarcoding; Sample provenance
MeSH headings : DNA Barcoding, Taxonomic; DNA, Fungal / chemistry; Demography; Forensic Sciences; Fungi; Humans; Reference Values; Soil
TL;DR: Investigating a small-scale approach as an adaptation of a larger metabarcoding study to develop a model for global sample provenance using fungal DNA signatures collected from dust swabs to facilitate a standardized method for consistent, reproducible sample treatment. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: May 26, 2020

2019 journal article

A Bayesian multivariate functional model with spatially varying coefficient approach for modeling hurricane track data

SPATIAL STATISTICS, 29, 351–365.

By: H. Rekabdarkolaee*, C. Krut n, M. Fuentes* & B. Reich n

author keywords: Atlantic basin; Bayesian inference; Markov chain Monte Carlo; Spatially varying coefficient; Spline; Tropical cyclones
TL;DR: A novel spatiotemporal multivariate functional model is proposed to simultaneously allow for multivariate, longitudinal, and spatially observed data with noisy functional covariates to understand the trends across space and time of a hurricane track and intensity. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: March 18, 2019

2019 journal article

A Feed Forward Neural Network Based on Model Output Statistics for Short-Term Hurricane Intensity Prediction

WEATHER AND FORECASTING, 34(4), 985–997.

By: K. Cloud n, B. Reich n, C. Rozoff*, S. Alessandrini*, W. Lewis* & L. Delle Monache*

author keywords: Neural networks; Regression analysis; Forecasting techniques; Operational forecasting; Short-range prediction
TL;DR: The 2017 data indicate significant potential for the FFNN in the prediction of rapid intensification (RI), with RI defined here as an intensification of at least 30 kt in a 24-h period. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 12, 2019

2019 journal article

A Spatial Markov Model for Climate Extremes

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 28(1), 117–126.

By: B. Reich n & B. Shaby*

author keywords: Areal data; Bayesian data analysis; Climate change; Conditionally autoregressive prior; Generalized extreme value distribution
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 13, 2019

2019 journal article

A TEST FOR ISOTROPY ON A SPHERE USING SPHERICAL HARMONIC FUNCTIONS

STATISTICA SINICA, 29(3), 1253–1276.

By: I. Sahoo n, J. Guinness n & B. Reich n

author keywords: Anisotropy; spatial statistics; spherical harmonic representation
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: July 29, 2019

2019 journal article

A spatial kernel density method to estimate the diet composition of fish

CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES, 76(2), 249–267.

By: S. Binion-Rock n, B. Reich n & J. Buckel n

TL;DR: The spatial estimator had lower mean squared error values compared with the traditional cluster-based estimator for all Monte Carlo simulations and provided strong evidence that data on food habits should be modeled using spatial approaches and not treated as spatially independent. (via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: February 11, 2019

2019 journal article

A spatio-temporal model for longitudinal image-on-image regression

Statistics in Biosciences, 11(1), 22–46.

By: A. Hazra n, B. Reich n, D. Reich*, R. Shinohara* & A. Staicu n

author keywords: Spatio-temporal regression model; Longitudinal imaging study; Dynamic Bayesian updating; Multiple sclerosis; Magnetization transfer ratio; T1-weighted; T2-weighted fluid-attenuated inversion recovery; Composite likelihood
TL;DR: A spatio-temporal regression model for image response and image predictors that are acquired longitudinally and an approximate Bayesian inference technique is proposed to bypass the computational challenges associated with a Bayesian approach for high-dimensional imaging data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: May 13, 2019

2019 journal article

Complete spatial model calibration

The Annals of Applied Statistics, 13(2), 746–766.

By: Y. Huang n, B. Reich n, M. Fuentes n & A. Sankarasubramanian n

author keywords: Bayesian methods; calibration; spatial statistics
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: July 1, 2019

2019 article

Conference report: 2018 materials and data science hackathon (MATDAT18)

Ferguson, A. L., Mueller, T., Rajasekaran, S., & Reich, B. J. (2019, June 1). MOLECULAR SYSTEMS DESIGN & ENGINEERING, Vol. 4, pp. 462–468.

Sources: Web Of Science, NC State University Libraries
Added: September 30, 2019

2019 journal article

Exploration and Inference in Spatial Extremes Using Empirical Basis Functions

JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 24(4), 555–572.

By: S. Morris n, B. Reich n & E. Thibaud*

author keywords: Dimension reduction; Max-stable process; Non-stationary data analysis
TL;DR: Based on a low-rank max-stable model, a data-driven approach is proposed to estimate meaningful basis functions using empirical pairwise extremal coefficients to explore and model spatial extremal dependence. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: November 4, 2019

2019 article

Guest Editors' Introduction to the Special Issue on "Climate and the Earth System"

Hammerling, D., & Reich, B. J. (2019, September). JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, Vol. 24, pp. 395–397.

By: D. Hammerling* & B. Reich n

author keywords: Climate models; Computational statistics; Extreme value analysis; Spatiotemporal data
TL;DR: This special issue proudly features eight papers that span a wide range of computational and methodological problems related to the climate and earth system and identifies common themes among the papers and point to areas of future research. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: September 16, 2019

2019 journal article

Resolving misaligned spatial data with integrated species distribution models

ECOLOGY, 100(6).

By: K. Pacifici n, B. Reich n, D. Miller* & B. Pease n

author keywords: black-throated blue warbler; change of support; Data integration for population models Special Feature; integrated species distribution modeling; occupancy modeling; spatial modeling
TL;DR: This work examines the issue of misaligned data as it relates specifically to integrated species distribution models, and provides a general solution that builds off work in the statistical literature for the change‐of‐support problem. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: July 22, 2019

2019 journal article

Spatial Signal Detection Using Continuous Shrinkage Priors

TECHNOMETRICS, 61(4), 494–506.

By: A. Jhuang n, M. Fuentes*, J. Jones n, G. Esteves n, C. Fancher*, M. Furman n, B. Reich n

author keywords: Bayesian variable selection; High-dimensional data; Image analysis; X-ray diffraction
TL;DR: A Bayesian spatial model for sparse signal detection in image data places considerable mass near zero and has heavy tails to reflect the prior belief that the image signal is zero for most pixels and large for an important subset. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: December 2, 2019

2019 journal article

The recent past and promising future for data integration methods to estimate species' distributions

METHODS IN ECOLOGY AND EVOLUTION, 10(1), 22–37.

By: D. Miller*, K. Pacifici n, J. Sanderlin* & B. Reich n

author keywords: data fusion; integrated distribution model; joint likelihood; spatial point process; species distribution modelling
TL;DR: This work outlines the general principles that have guided data integration methods and review recent developments and outlines key areas that allow for a more general framework for integrating data and provides suggestions for improving sampling design and validation for integrated models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: February 18, 2019

2019 article

The use of Bayesian inference in the characterization of materials and thin films

ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, Vol. 75, pp. A211–A211.

By: J. Jones*, R. Broughton*, T. Iamsasri*, C. Fancher*, A. Wilson*, B. Reich*, R. Smith*

Sources: Web Of Science, NC State University Libraries
Added: August 3, 2020

2018 journal article

A functional data analysis of spatiotemporal trends and variation in fine particulate matter

ATMOSPHERIC ENVIRONMENT, 184, 233–243.

By: M. King n, A. Staicu n, J. Davis n, B. Reich n & B. Eder*

author keywords: Particulate matter; Functional data; Air pollution; Kriging; Functional principal component analysis
TL;DR: The application of modern functional data analysis methods to study the spatiotemporal variability of particulate matter components across the United States and reveals new trends in the change of the pollutants across seasons and years that may not be as easily determined from other common approaches such as Kriging. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2018 journal article

A non-parametric bootstrapping framework embedded in a toolkit for assessing water quality model performance

Environmental Modelling & Software, 107, 25–33.

author keywords: Water quality modeling; Performance assessment; Non-parametric re-sampling
TL;DR: Evaluation of the USGS's Load Estimator (LOADEST) and the Weighted Regression on Time, Discharge, and Season (WRTDS) models in predicting total nitrogen loads over 18 stations from the Water Quality Network show good performance, but both models captured only 40% of observed variance in total nitrogen concentration. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (OpenAlex)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: October 19, 2018

2018 journal article

Avian response to shade-layer restoration in coffee plantations in Puerto Rico

RESTORATION ECOLOGY, 26(6), 1212–1220.

By: A. Irizarry n, J. Collazo n, K. Pacifici n, B. Reich n & K. Battle n

author keywords: avifauna; coffee cultivation; ecosystem services; local persistence; occupancy; shade restoration
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: November 26, 2018

2018 journal article

Fully Bayesian spectral methods for imaging data

BIOMETRICS, 74(2), 645–652.

By: B. Reich n, J. Guinness n, S. Vandekar*, R. Shinohara* & A. Staicu n

author keywords: Functional connectivity; Markov chain Monte Carlo; Matern correlation; Shrinkage priors; Spherical harmonics
MeSH headings : Alzheimer Disease / diagnostic imaging; Bayes Theorem; Case-Control Studies; Cerebral Cortex / diagnostic imaging; Cerebral Cortex / pathology; Computer Simulation; Data Interpretation, Statistical; Datasets as Topic; Diagnostic Imaging / methods; Humans; Markov Chains; Monte Carlo Method; Spectrum Analysis
TL;DR: This work proposes a method that accounts for nonstationarity, functional connectivity of distant regions of interest, and local signals, and can be applied to large multi‐subject datasets using spectral methods combined with Markov Chain Monte Carlo sampling, and applies the new approach to study associations between cortical thickness and Alzheimer's disease. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: October 16, 2018

2018 journal article

Impacts of fire smoke plumes on regional air quality, 2006-2013

JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY, 28(4), 319–327.

By: A. Larsen n, B. Reich n, M. Ruminski* & A. Rappold*

author keywords: Fire Smoke; Air Quality; AQI; HMS
MeSH headings : Air Pollutants / adverse effects; Air Pollutants / analysis; Air Pollution / adverse effects; Air Pollution / analysis; Environmental Monitoring / methods; Fires; Geographic Information Systems; Health Status; Humans; Ozone / adverse effects; Ozone / analysis; Particle Size; Particulate Matter / adverse effects; Particulate Matter / analysis; Smoke / adverse effects; Smoke / analysis; United States; Urban Population
TL;DR: Fire smoke substantially affects regional air quality and accounts for a disproportionate number of unhealthy days and the magnitude of effects varied by location, but the largest impacts were observed across the southeast. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2018 journal article

Integrating auxiliary data in optimal spatial design for species distribution modelling

METHODS IN ECOLOGY AND EVOLUTION, 9(6), 1626–1637.

By: B. Reich n, K. Pacifici n & J. Stallings n

author keywords: Bayesian inference; citizen science; exchange algorithm; geostatistics; imperfect detection; occupancy
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2018 journal article

Precision maps for public health

Nature, 555(7694), 32–33.

By: B. Reich n & M. Haran*

MeSH headings : Public Health
UN Sustainable Development Goal Categories
1. No Poverty (Web of Science)
2. Zero Hunger (Web of Science)
Sources: Crossref, NC State University Libraries
Added: February 24, 2020

2018 journal article

Relationships between urban green land cover and human health at different spatial resolutions

Urban Ecosystems, 22(2), 315–324.

By: W. Tsai n, Y. Leung n, M. McHale*, M. Floyd n & B. Reich n

Contributors: W. Tsai n, Y. Leung n, M. McHale*, M. Floyd n & B. Reich n

author keywords: MAUP; Landscape metrics; Life expectancy
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, Crossref, ORCID
Added: April 9, 2019

2018 journal article

Scalar-on-image regression via the soft-thresholded Gaussian process

BIOMETRIKA, 105(1), 165–184.

By: J. Kang*, B. Reich n & A. Staicu n

author keywords: Electroencephalography; Gaussian process; Posterior consistency; Spatial variable selection
TL;DR: A new class of Bayesian nonparametric models are proposed and an efficient posterior computational algorithm is developed that provides large prior support over the class of piecewise‐smooth, sparse, and continuous spatially varying regression coefficient functions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2018 journal article

Spatial regression with an informatively missing covariate: Application to mapping fine particulate matter

Environmetrics, 29(4), e2499.

By: N. Grantham n, B. Reich n, Y. Liu* & H. Chang*

author keywords: aerosol optical depth; air pollution; informative missingness; kriging; MCMC; predictive process
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (OpenAlex)
Sources: Crossref, NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2018 journal article

The links between agriculture, Anopheles mosquitoes, and malaria risk in children younger than 5 years in the Democratic Republic of the Congo: a population-based, cross-sectional, spatial study

The Lancet Planetary Health, 2(2), e74–e82.

By: M. Janko*, S. Irish*, B. Reich n, M. Peterson, S. Doctor*, M. Mwandagalirwa*, J. Likwela*, A. Tshefu*, S. Meshnick*, M. Emch*

TL;DR: A population-based, cross-sectional, spatial study of rural children in the DR Congo aimed at assessing the effect of agriculture on Anopheles biting behaviour and malaria risk in children in rural areas of the Democratic Republic of the Congo. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: November 20, 2020

2017 journal article

A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints

STATISTICAL ANALYSIS AND DATA MINING, 10(6), 393–409.

author keywords: Bayesian nonparametrics; count data; feature selection; Poisson mixture; text analysis
TL;DR: This paper proposes a zero‐inflated Poisson mixture modeling framework that incorporates a model‐based normalization through prior distributions with mean constraints, as well as a feature selection mechanism, which allows it to identify a parsimonious set of discriminatory features, and simultaneously cluster the samples into homogenous groups. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 journal article

A Space-Time Skew-t Model for Threshold Exceedances

BIOMETRICS, 73(3), 749–758.

By: S. Morris n, B. Reich n, E. Thibaud* & D. Cooley*

author keywords: Extreme value analysis; Markov chain Monte Carlo; Random partition; Skew-t; Spatio-temporal modeling
MeSH headings : Air Pollutants; Bayes Theorem; Models, Statistical; Normal Distribution; Ozone; United States; United States Environmental Protection Agency
TL;DR: A new space‐time model for threshold exceedances based on the skew‐t process is presented, which allows for high‐dimensional Bayesian inference that is comparable in computation time to traditional geostatistical methods for large data sets. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 journal article

A multivariate dynamic spatial factor model for speciated pollutants and adverse birth outcomes

International Journal of Environmental Research and Public Health, 14(9).

By: K. Kaufeld, M. Fuentes, B. Reich, A. Herring, G. Shaw & M. Terres

Source: NC State University Libraries
Added: August 6, 2018

2017 journal article

A spatial model for rare binary events

ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 24(4), 485–504.

By: S. Morris*, B. Reich n, K. Pacifici n & Y. Lei*

author keywords: Ecology; Extreme value analysis; Generalized linear model; Max-stable process; Occupancy
TL;DR: This paper proposes a method for rare binary data that builds on spatial extreme value theory and finds some evidence that for very rare data the max-stable extension provides an improvement in spatial prediction compared to Gaussian models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 journal article

Characterizing Sources of Uncertainty from Global Climate Models and Downscaling Techniques

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 56(12), 3245–3262.

By: A. Wootten n, A. Terando n, B. Reich n, R. Boyles n & F. Semazzi n

UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 journal article

Climate change impacts on projections of excess mortality at 2030 using spatially varying ozone-temperature risk surfaces

JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY, 27(1), 118–124.

author keywords: climate change; mortality; ozone; ozone-temperature interaction
MeSH headings : Aged; Aged, 80 and over; Air Pollutants / adverse effects; Air Pollutants / analysis; Air Pollution / adverse effects; Air Pollution / analysis; Animals; Cities; Climate Change / mortality; Databases, Factual; Female; Humans; Male; Models, Theoretical; Ozone / adverse effects; Ozone / analysis; Risk Assessment; United States / epidemiology; Urban Population
TL;DR: This work estimates non-linear, spatially varying, ozone–temperature risk surfaces for 94 US urban areas using observed data and simulates air quality from climate projections varying only biogenic emissions and holding anthropogenic emissions constant, thus attributing changes in ozone only to changes in climate and independent of changes in air pollutant emissions. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 journal article

Correlating Local Chemistry and Local Cation Displacements in the Relaxor Ferroelectric PMN

Microscopy and Microanalysis, 23(S1), 1616–1617.

By: M. Cabral n, S. Zhang*, J. Chi n, B. Reich n, E. Dickey n & J. LeBeau n

Contributors: M. Cabral n, S. Zhang*, J. Chi n, B. Reich n, E. Dickey n & J. LeBeau n

Sources: Crossref, NC State University Libraries, ORCID
Added: January 25, 2020

2017 journal article

How predictable is plastic damage at the atomic scale?

Applied Physics Letters, 110(9), 091902.

By: D. Li n, E. Bucholz n, G. Peterson n, B. Reich n, J. Russ n & D. Brenner n

TL;DR: This work combines image analysis with molecular dynamics simulation to quantify similarities between atomic structures of plastic damage in a database of strained copper bi-crystals, and shows that a manifold of different outcomes can originate ostensibly from the same initial structure. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: February 18, 2020

2017 journal article

Integrating multiple data sources in species distribution modeling: a framework for data fusion

ECOLOGY, 98(3), 840–850.

By: K. Pacifici n, B. Reich n, D. Miller*, B. Gardner*, G. Stauffer*, S. Singh n, A. McKerrow n, J. Collazo n

author keywords: Brown-headed nuthatch; data fusion; multivariate conditional autoregressive; species distribution modeling
MeSH headings : Ecology; Information Storage and Retrieval; Models, Theoretical; Spatial Analysis
TL;DR: Three new models that share information in a less direct manner resulting in more robust performance when the auxiliary data is of lesser quality are developed for combining data sources and used in a case study of the Brown-headed Nuthatch in the Southeastern U.S. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 journal article

Optimal seed deployment under climate change using spatial models: Application to loblolly pine in the Southeastern US

Journal of the American Statistical Association, 112(519), 909–920.

By: A. Farjat n, B. Reich n, J. Guinness n, R. Whetten n, S. McKeand n & F. Isik n

UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries, ORCID
Added: August 6, 2018

2017 journal article

Spatial prediction of crystalline defects observed in molecular dynamic simulations of plastic damage

JOURNAL OF APPLIED STATISTICS, 44(10), 1761–1784.

By: G. Peterson n, D. Li n, B. Reich n & D. Brenner n

author keywords: Materials science; uncertainty quantification; computer emulation; MCMC; multivariate
TL;DR: It is found that CAR and DWT yield accurate results but fail to capture extreme defects, yet PCA better captures defect structure, and the methods are applied to simulation of copper atoms with twin wall and dislocation loop defects. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 journal article

Spatiotemporal Modeling of Node Temperatures in Supercomputers

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 112(517), 92–108.

By: C. Storlie*, B. Reich n, W. Rust*, L. Ticknor*, A. Bonnie*, A. Montoya*, S. Michalak*

author keywords: Cooling; Copula; Extreme value; Generalized pareto distribution; Hierarchical bayesian modeling; High performance computing; Spatio-temporal
TL;DR: The statistical approach used to quantify the effect that several cooling changes to the room had on the temperatures of the individual nodes of the computers and uncovered the cause of a problematic episode of overheating nodes on one of the supercomputing clusters. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 journal article

Statistical and image analysis for characterizing simulated atomic-scale damage in crystals

COMPUTATIONAL MATERIALS SCIENCE, 135, 119–126.

By: D. Li n, B. Reich n & D. Brenner n

author keywords: Molecular dynamics; Statistical analysis; 'Plastic damage; Dislocations
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 chapter

Uncertainty Quantification and Propagation for Projections of Extremes in Monthly Area Burned Under Climate Change: A Case Study in the Coastal Plain of Georgia, USA

In NATURAL HAZARD UNCERTAINTY ASSESSMENT: MODELING AND DECISION SUPPORT (Vol. 223, pp. 245–256).

By: A. Terando n, B. Reich n, K. Pacifici n, J. Costanza n, A. McKerrow n & J. Collazo n

Contributors: A. Terando n, B. Reich n, K. Pacifici n, J. Costanza n, A. Mc n & J. Collazo n

UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries, ORCID, Crossref
Added: December 31, 2018

2017 journal article

Using spatial cross-correlation image analysis to characterize the influence of strain rate on plastic damage in molecular dynamics simulations

Modelling and Simulation in Materials Science and Engineering, 25(7).

By: D. Li, B. Reich & D. Brenner

Source: NC State University Libraries
Added: August 6, 2018

2016 journal article

A Fused Lasso Approach to Nonstationary Spatial Covariance Estimation

JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 21(3), 569–587.

By: R. Parker*, B. Reich n & J. Eidsvik*

author keywords: Spatial statistics; Nonstationary covariance; Regularization; Penalized likelihood
TL;DR: A computationally efficient method to estimate a nonstationary covariance function that is applied to tropospheric ozone in the US, and it is found that the spatial covariance on the west coast differs from the rest of the country. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 journal article

A MARKOV-SWITCHING MODEL FOR HEAT WAVES

ANNALS OF APPLIED STATISTICS, 10(1), 74–93.

By: B. Shaby, B. Reich*, D. Cooley & C. Kaufman

author keywords: Latent state; extremes; generalized Pareto distribution; extremal dependence
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 journal article

A spatial-temporal double-hurdle model for extremely over-dispersed avian count data

SPATIAL STATISTICS, 18, 263–275.

By: E. Balderama*, B. Gardner* & B. Reich n

author keywords: Bayesian hierarchical modeling; Conditional autoregressive models; Extreme values; Generalized Pareto distribution; Seabirds; Zero-inflation
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 journal article

Bayesian nonparametric estimation for dynamic treatment regimes with sequential transition times comment

Journal of the American Statistical Association, 111(515), 936–942.

By: Q. Guan, E. Laber & B. Reich

Source: NC State University Libraries
Added: August 6, 2018

2016 journal article

Comment

Journal of the American Statistical Association, 111(515), 936–942.

By: Q. Guan n, E. Laber n & B. Reich n

TL;DR: It is argued that NPB methods can have tremendous value as an engine for policy-search algorithms used to estimate an optimal treatment regime within a prespecified class, and may possess a number of advantages over existing methods in the context of policy- search algorithms. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 13, 2020

2016 journal article

DATA MINING TO INVESTIGATE THE METEOROLOGICAL DRIVERS FOR EXTREME GROUND LEVEL OZONE EVENTS

ANNALS OF APPLIED STATISTICS, 10(3), 1673–1698.

By: B. Russell*, D. Cooley*, W. Porter*, B. Reich n & C. Heald*

author keywords: Tail dependence; multivariate regular variation; constrained optimization; cross-validation; smooth threshold
TL;DR: The approach focuses only on the tail by optimizing the tail dependence between the ozone response and functions of meteorological covariates, and identifies several covariates which help to differentiate the meteorological conditions which lead to extreme ozone levels from those which led to merely high levels. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 journal article

Occupancy estimation for rare species using a spatially-adaptive sampling design

METHODS IN ECOLOGY AND EVOLUTION, 7(3), 285–293.

By: K. Pacifici n, B. Reich n, R. Dorazio* & M. Conroy*

author keywords: adaptive cluster sampling; informative sampling; probit regression; rare species; spatial regression; Tamarix ramosissima
TL;DR: This work integrates adaptive cluster sampling and spatial occupancy modelling by developing two models to handle the dependence induced by cluster sampling, and believes this approach is unique and potentially useful for a variety of studies directed at patchily distributed, clustered or rare species exhibiting spatial variation. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 journal article

Quantile regression for epidemiological applications

Handbook of Spatial Epidemiology, 239–249.

By: B. Reich

Source: NC State University Libraries
Added: August 6, 2018

2016 journal article

Urban Vegetative Cover Fragmentation in the US Associations With Physical Activity and BMI

AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 50(4), 509–517.

By: W. Tsai n, M. Floyd n, Y. Leung n, M. McHale n & B. Reich n

Contributors: W. Tsai n, M. Floyd n, Y. Leung n, M. McHale n & B. Reich n

MeSH headings : Body Mass Index; Ecosystem; Environment Design; Exercise / physiology; Forests; Humans; Regression Analysis; United States; Urban Health; Urbanization
TL;DR: Forest land cover and some degree of fragmentation are associated with population physical activity and BMI at the county scale in the U.S. and future studies should examine how built environments and varying land cover configurations influencePhysical activity and weight status. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2016 journal article

Use of Bayesian Inference in Crystallographic Structure Refinement via Full Diffraction Profile Analysis

Scientific Reports, 6(1), 31625.

By: C. Fancher n, Z. Han n, I. Levin*, K. Page*, B. Reich n, R. Smith n, A. Wilson n, J. Jones n

Contributors: C. Fancher n, Z. Han n, I. Levin*, K. Page*, B. Reich n, R. Smith n, A. Wilson n, J. Jones n

TL;DR: A Bayesian inference method for refining crystallographic structures is presented, which better estimates the true uncertainties in the model as compared to the Rietveld method. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018

2015 journal article

A Multiresolution Approach to Estimating the Value Added by Regional Climate Models

JOURNAL OF CLIMATE, 28(22), 8873–8887.

By: R. Parker n, B. Reich n & S. Sain*

author keywords: Mathematical and statistical techniques; Bayesian methods; Models and modeling; Climate models; Spectral analysis; models; distribution
TL;DR: A spectral approach using the discrete cosine transformation (DCT) is based on characterizing the joint relationship between observations, coarser-scale models, and higher-resolution models to identify how the finer scales add value over the coarser output. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

A marginal cure rate proportional hazards model for spatial survival data

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 64(4), 673–691.

By: P. Schnell*, D. Bandyopadhyay*, B. Reich n & M. Nunn*

author keywords: Bayesian hierarchical modelling; Cure rate; Dental data; Extreme value analysis; Frailty; Positive stable; Tooth loss
TL;DR: This model permits predictions that account for the survival status of nearby teeth and simultaneously preserves the proportional hazards relationship marginally over the random effects for the susceptible teeth, allowing for interpretable estimates of the effects of risk factors on tooth loss. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

Assessment of critical exposure and outcome windows in time-to-event analysis with application to air pollution and preterm birth study

BIOSTATISTICS, 16(3), 509–521.

By: H. Chang*, J. Warren*, L. Darrow*, B. Reich n & L. Waller*

author keywords: Air pollution; Fine particulate matter; Joint effects; Preterm birth; Time-dependent exposure; Time-to-event model; Time-varying effect
MeSH headings : Air Pollution / adverse effects; Bayes Theorem; Biostatistics; Computer Simulation; Female; Georgia / epidemiology; Humans; Infant, Newborn; Models, Statistical; Particulate Matter / adverse effects; Pregnancy; Premature Birth / epidemiology; Premature Birth / etiology; Prenatal Exposure Delayed Effects; Risk Factors
TL;DR: A Bayesian hierarchical model is applied to a dataset of geocoded birth records in the Atlanta metropolitan area between 1999-2005 to examine the risk of PTB associated with gestational exposure to ambient fine particulate matter. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

Estimating Spatially Varying Severity Thresholds of a Forest Fire Danger Rating System Using Max-Stable Extreme-Event Modeling

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 54(2), 395–407.

By: A. Stephenson n, B. Shaby n, B. Reich n & A. Sullivan n

UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

False discovery control in large-scale spatial multiple testing

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 77(1), 59–83.

author keywords: Compound decision theory; False cluster rate; False discovery exceedance; False discovery rate; Large-scale multiple testing; Spatial dependence
TL;DR: A unified theoretical and computational framework for false discovery control in multiple testing of spatial signals is developed and oracle procedures which optimally control the false discovery rate, false discovery exceedance and false cluster rate are derived. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

Fungi Identify the Geographic Origin of Dust Samples

PLOS ONE, 10(4), e0122605.

By: N. Grantham n, B. Reich n, K. Pacifici n, E. Laber n, H. Menninger n, J. Henley*, A. Barberán*, J. Leff*, N. Fierer*, R. Dunn n

Contributors: N. Grantham n, B. Reich n, K. Pacifici n, E. Laber n, H. Menninger n, J. Henley*, A. Barberán*, J. Leff*, N. Fierer*, R. Dunn n

Ed(s): A. Rokas

MeSH headings : Archaeology; Dust; Fungi / classification; Fungi / genetics; Genetic Variation; Pollen / genetics; Pollen / microbiology
TL;DR: A statistical learning algorithm via discriminant analysis is developed that exploits this geographic endemicity in the fungal diversity of dust samples to correctly identify samples to within a few hundred kilometers of their geographic origin with high probability. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID, Crossref
Added: August 6, 2018

2015 journal article

Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques

TECHNOMETRICS, 57(4), 535–546.

By: Y. Kao, B. Reich*, C. Storlie & B. Anderson

author keywords: Classification; Clustering; Dirichlet process mixture; Dynamic trace
TL;DR: This article proposes a nonparametric Bayesian approach for classifying programs as benign or malicious and simultaneously clustering malicious programs and shows that the DPM model outperforms the elastic net logistic regression and the support vector machine (SVM) in classification performance under most of the scenarios, and also outper performs the spectral clustering method for grouping similar malware. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

Modeling Climate Change Effects on the Height Growth of Loblolly Pine

Forest Science, 61(4), 703–715.

By: A. Farjat n, F. Isik n, B. Reich n, R. Whetten n & S. McKeand n

author keywords: Pinus taeda; provenance test; statistical model; universal response function; climate change
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID, Crossref
Added: August 6, 2018

2015 journal article

Multilevel quantile function modeling with application to birth outcomes

BIOMETRICS, 71(2), 508–519.

By: L. Smith n, B. Reich n, A. Herring*, P. Langlois* & M. Fuentes n

author keywords: Birth weight; Discrete; Extremes; Gestational Age; Graphics processing units; Ozone; Quantile
MeSH headings : Air Pollutants / adverse effects; Bayes Theorem; Biometry; Birth Weight; Computer Simulation; Female; Gestational Age; Humans; Infant; Infant Mortality; Infant, Newborn; Infant, Premature; Infant, Small for Gestational Age; Male; Models, Statistical; Ozone / adverse effects; Pregnancy; Regression Analysis; Texas / epidemiology
TL;DR: A semi‐parametric Bayesian quantile approach that models the full quantile function rather than just a few quantile levels and shows that pooling information across gestational age and quantile level substantially reduces MSE of predictor effects. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

Multiple window discrete scan statistic for higher-order Markovian sequences

JOURNAL OF APPLIED STATISTICS, 42(8), 1690–1705.

By: D. Coleman n, D. Martin n & B. Reich n

author keywords: variable windows; p-values; one-dimensional scan statistics; 60E05; 60J22
TL;DR: This work gives an efficient method to compute the exact distribution of multiple window discrete scan statistics for higher-order, multi-state Markovian sequences and defines a Markov chain to efficiently keep track of probabilities needed to compute p-values for the statistic. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

Partially supervised spatiotemporal clustering for burglary crime series identification

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 178(2), 465–480.

By: B. Reich n & M. Porter*

author keywords: Bayesian hierarchical model; Crime linkage; Markov chain Monte Carlo methods; Model-based clustering
TL;DR: This work proposes a Bayesian model‐based clustering approach for criminal events that utilizes spatiotemporal crime locations as well as crime features describing the offender's modus operandi, and produces posterior clustering probabilities which allow analysts to act on model output only as warranted. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
16. Peace, Justice and Strong Institutions (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

QUANTILE REGRESSION FOR MIXED MODELS WITH AN APPLICATION TO EXAMINE BLOOD PRESSURE TRENDS IN CHINA

ANNALS OF APPLIED STATISTICS, 9(3), 1226–1246.

By: L. Smith n, M. Fuentes n, P. Gordon-Larsen n & B. Reich n

author keywords: Quantile regression; longitudinal; multivariate; Bayesian; blood pressure
TL;DR: The association between high blood pressure and living in an urban area has evolved from positive to negative, with the strongest changes occurring in the upper tail, which is the first quantile function approach that simultaneously models multivariate conditional response. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 article

Spatial Bayesian Nonparametric Methods

NONPARAMETRIC BAYESIAN INFERENCE IN BIOSTATISTICS, pp. 347–357.

By: B. Reich n & M. Fuentes n

TL;DR: This work starts by considering nonparametric priors for covariance functions in a Gaussian process model, and goes fully non-parametric and discusses Dirichlet process mixtures for the coefficients in a kernel convolution, Dirichlets of Gaussian processes and spatial stick-breaking priors. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 journal article

Spatial Variable Selection Methods for Investigating Acute Health Effects of Fine Particulate Matter Components

BIOMETRICS, 71(1), 167–177.

By: L. Vock*, B. Reich n, M. Fuentes n & F. Dominici*

author keywords: Bayesian modeling; Fine particulate matter; Spatial data; Stochastic search variable selection
MeSH headings : Air Pollution / statistics & numerical data; Cardiovascular Diseases / mortality; Comorbidity; Data Interpretation, Statistical; Environmental Exposure / statistics & numerical data; Environmental Monitoring / methods; Environmental Monitoring / statistics & numerical data; Humans; Incidence; Internationality; Particulate Matter / analysis; Particulate Matter / chemistry; Respiratory Tract Diseases / mortality; Risk Assessment / methods; Spatio-Temporal Analysis
TL;DR: The model is used to study the association between fine PM (PM <2.5μm) components, measured at 115 counties nationally over the period 2000-2008, and cardiovascular emergency room admissions among Medicare patients, and differs from current spatial variable selection techniques by accommodating both local and global variable selection. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

A Hierarchical Model for Serially-Dependent Extremes: A Study of Heat Waves in the Western US

JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 19(1), 119–135.

By: B. Reich n, B. Shaby* & D. Cooley*

author keywords: Bayesian modeling; Climate change; Generalized Pareto distribution; Markov model
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

A Spectral Method for Spatial Downscaling

BIOMETRICS, 70(4), 932–942.

By: B. Reich n, H. Chang* & K. Foley*

author keywords: Computer model output; Data fusion; Kriging; Multiscale analysis
MeSH headings : Air Pollution / analysis; Air Pollution / statistics & numerical data; Algorithms; Computer Simulation; Data Interpretation, Statistical; Environmental Monitoring / methods; Environmental Monitoring / statistics & numerical data; Models, Statistical; Ozone / analysis; Reproducibility of Results; Sample Size; Sensitivity and Specificity; Spatio-Temporal Analysis; United States
TL;DR: A new spectral method to study and exploit complex relationships between model output and monitoring data and it is found that CMAQ captures large‐scale spatial trends, but has low correlation with the monitoring data at small spatial scales. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

A spatial capture-recapture model for territorial species

Environmetrics, 25(8), 630–637.

By: B. Reich n & B. Gardner n

TL;DR: A new statistical model is proposed, which allows for dependence between locations to account for avoidance or territorial behavior and it is shown via a simulation study that accounting for this can improve population size estimates. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (Web of Science)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2014 journal article

Confounder Selection via Penalized Credible Regions

BIOMETRICS, 70(4), 852–861.

By: A. Wilson n & B. Reich n

author keywords: Adjustment uncertainty; Confounder selection; Consistency; Credible region; Variable selection
MeSH headings : Algorithms; Bayes Theorem; Birth Weight; Computer Simulation; Confounding Factors, Epidemiologic; Environmental Exposure / statistics & numerical data; Female; Humans; Models, Statistical; North Carolina / epidemiology; Particulate Matter / analysis; Pregnancy; Prenatal Exposure Delayed Effects / epidemiology; Prevalence; Risk Assessment / methods
TL;DR: This work proposes a decision‐theoretic approach to confounder selection and effect estimation, which first estimates the full standard Bayesian regression model and then post‐process the posterior distribution with a loss function that penalizes models omitting important confounders. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

Estimation and Prediction in Spatial Models With Block Composite Likelihoods

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 23(2), 295–315.

By: J. Eidsvik*, B. Shaby, B. Reich n, M. Wheeler* & J. Niemi*

author keywords: Gaussian process; GPU; Large datasets; Parallel computing; Spatial statistics
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
9. Industry, Innovation and Infrastructure (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

Hierarchical Dose-Response Modeling for High-Throughput Toxicity Screening of Environmental Chemicals

BIOMETRICS, 70(1), 237–246.

By: A. Wilson n, D. Reif n & B. Reich n

Contributors: A. Wilson n, D. Reif n & B. Reich n

author keywords: Bayesian; Computational toxicology; Dose-response; MCMC; Monotonicity; Semiparametric; ToxCast
MeSH headings : Algorithms; Bayes Theorem; Computer Simulation; Dose-Response Relationship, Drug; Environmental Pollutants / toxicity; Estrogen Receptor alpha / metabolism; Humans; Markov Chains; Models, Statistical; Monte Carlo Method; PPAR gamma / metabolism; Toxicity Tests / methods; United States; United States Environmental Protection Agency
TL;DR: This work proposes a semiparametric Bayesian model that borrows strength across chemicals and assays and demonstrates that the hierarchical method provides more accurate estimates of the probability of response, efficacy, and potency than separate curve estimation in a simulation study. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2014 journal article

MODELING THE EFFECT OF TEMPERATURE ON OZONE-RELATED MORTALITY

ANNALS OF APPLIED STATISTICS, 8(3), 1728–1749.

By: A. Wilson, A. Rappold, L. Neas & B. Reich*

author keywords: Air pollution; monotone regression; mortality; ozone-temperature interaction; semi-parametric regression; spatial modeling
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 journal article

Spatial health effects analysis with uncertain residential locations

STATISTICAL METHODS IN MEDICAL RESEARCH, 23(2), 156–168.

By: B. Reich n, H. Chang* & M. Strickland*

author keywords: Bayesian hierarchical model; conditionally autoregressive prior; data imputation; geographic information system; missing data
MeSH headings : Bayes Theorem; Biostatistics; Computer Simulation; Epidemiologic Factors; Female; Geographic Information Systems; Georgia / epidemiology; Humans; Infant, Low Birth Weight; Infant, Newborn; Infant, Premature; Male; Markov Chains; Models, Statistical; Monte Carlo Method; Particulate Matter / adverse effects; Pregnancy; Rural Health / statistics & numerical data; Rural Population; Uncertainty
TL;DR: A new hierarchical Bayesian spatial model is proposed to handle missing observation locations and it is shown via a simulation study that this method can lead to more efficient epidemiological analysis. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
3. Good Health and Well-being (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

A Bayesian approach to probabilistic streamflow forecasts

JOURNAL OF HYDROINFORMATICS, 15(2), 381–391.

By: H. Wang*, B. Reich n & Y. Lim*

author keywords: climate model forecasted precipitation; Gibbs Sampling; Markov Chain Monte Carlo; principal component analysis; water management
TL;DR: This study aims to examine a multivariate linear Bayesian regression approach to provide probabilistic streamflow forecasts by incorporating gridded precipitation forecasts from climate models and lagged monthly streamflow data and results reveal that the proposed method is a promising alternative forecasting technique and that it performs well for Probabilistic Streamflow forecasts. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (Web of Science; OpenAlex)
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(503), 820–831.

By: B. Reich n, D. Bandyopadhyay* & H. Bondell n

author keywords: Attachment level; Dirichlet process; Kernel convolution; Nonnormality; Nonstationarity
TL;DR: Application of this methodology to a dataset recording the periodontal health of an African-American population, as well as simulation studies, reveals the gain in model fit and inference, and provides a new perspective into unraveling covariate–response relationships in the presence of complexities posed by these data. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

A spatial time-to-event approach for estimating associations between air pollution and preterm birth

Journal of the Royal Statistical Society. Series C, Applied Statistics, 62, 167–179.

By: H. Chang, B. Reich & M. Miranda

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

Analysis of computationally demanding models with continuous and categorical inputs

RELIABILITY ENGINEERING & SYSTEM SAFETY, 113, 30–41.

By: C. Storlie*, B. Reich n, J. Helton*, L. Swiler* & C. Sallaberry*

author keywords: Categorical inputs; Meta-model; Surrogate model; Emulator; Non-parametric regression; Gaussian process; Sensitivity analysis; Uncertainty analysis
TL;DR: Two meta-models based on functional ANOVA decomposition are presented that explicitly allow for an appropriate treatment of categorical input variables in the analysis of models with continuous and categorical inputs. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

Bayesian Quantile Regression for Censored Data

BIOMETRICS, 69(3), 651–660.

By: B. Reich n & L. Smith n

author keywords: Accelerated failure time model; Markov chain Monte Carlo; Quantile regression; Survival data
MeSH headings : Bayes Theorem; Biometry / methods; Computer Simulation; Humans; Markov Chains; Models, Statistical; Monte Carlo Method; Regression Analysis; Survival Analysis; Uncertainty
TL;DR: This paper takes a semiparametric approach to quantile regression, representing the quantile process as a linear combination of basis functions, and finds that the Bayesian model often gives smaller measures of uncertainty than its competitors, and thus identifies more significant effects. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

Bridging Conditional and Marginal Inference for Spatially Referenced Binary Data

BIOMETRICS, 69(2), 545–554.

By: L. Boehm n, B. Reich n & D. Bandyopadhyay*

author keywords: Bridge density; Copula; Logistic link; Marginal inference; Random; effects
MeSH headings : Biometry / methods; Computer Simulation; Data Interpretation, Statistical; Humans; Logistic Models; Markov Chains; Models, Statistical; Monte Carlo Method; Normal Distribution; Odds Ratio; Oral Health / statistics & numerical data
TL;DR: This work proposes a new spatial random effect distribution through a copula framework which ensures that the regression coefficients maintain the log-odds interpretation both conditional on and marginally over the spatial random effects. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

Comparing exposure metrics for the effects of fine particulate matter on emergency hospital admissions

JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY, 23(6), 627–636.

By: E. Mannshardt n, K. Sucic n, W. Jiao n, F. Dominici*, H. Frey n, B. Reich n, M. Fuentes n

Contributors: E. Mannshardt n, K. Sucic n, W. Jiao n, F. Dominici*, H. Frey n, B. Reich n, M. Fuentes n

author keywords: ambient monitoring data; CMAQ; SHEDS; PM2.5
MeSH headings : Air Pollutants / toxicity; Emergency Service, Hospital / statistics & numerical data; Environmental Exposure; Humans; Particulate Matter; Patient Admission
TL;DR: This paper investigates the sensitivity of the health effects estimates associated with short-term exposure to fine particulate matter with respect to three potential metrics for daily exposure: ambient monitor data, estimated values from a deterministic atmospheric chemistry model, and stochastic daily average human exposure simulation output. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2013 article

DISCUSSION OF "ESTIMATING THE HISTORICAL AND FUTURE PROBABILITIES OF LARGE TERRORIST EVENTS" BY AARON CLAUSET AND RYAN WOODARD

Reich, B. J., & Porter, M. D. (2013, December). ANNALS OF APPLIED STATISTICS, Vol. 7, pp. 1871–1875.

By: B. Reich* & M. Porter

author keywords: Extreme value analysis; generalized Pareto distribution; terrorism
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

EXTREME VALUE ANALYSIS FOR EVALUATING OZONE CONTROL STRATEGIES

ANNALS OF APPLIED STATISTICS, 7(2), 739–762.

By: B. Reich n, D. Cooley*, K. Foley*, S. Napelenok* & B. Shaby*

author keywords: Bayesian hierarchical modeling; generalized Pareto distribution; spatial data analysis; statistical downscaling
TL;DR: A new statistical approach is developed to make full use of the reduced form model to study the effects of various control strategies on the probability and magnitude of extreme ozone events, and finds that reducing mobile-source emissions has a larger impact than reducing point- source emissions or a combination of several emission sources. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

Multivariate spatial nonparametric modelling via kernel processes mixing

Statistica Sinica, 23(1), 75–97.

By: M. Fuentes & B. Reich

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

Nonparametric spatial models for extremes: application to extreme temperature data

EXTREMES, 16(1), 75–101.

By: M. Fuentes n, J. Henry n & B. Reich n

author keywords: Dirichlet processes; Extreme temperatures; Nonstationarity; Return levels; Spatial models
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 journal article

A HIERARCHICAL MAX-STABLE SPATIAL MODEL FOR EXTREME PRECIPITATION

ANNALS OF APPLIED STATISTICS, 6(4), 1430–1451.

By: B. Reich n & B. Shaby n

author keywords: Gaussian extreme value process; generalized extreme value distribution; positive stable distribution; regional climate model
TL;DR: A new random effects model to account for spatial dependence is proposed and it is shown that the specification of the random effect distribution leads to a max-stable process that has the popular Gaussian extreme value process (GEVP) as a limiting case. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 journal article

Bayesian Analysis of a Reduced-Form Air Quality Model

ENVIRONMENTAL SCIENCE & TECHNOLOGY, 46(14), 7604–7611.

By: K. Foley*, B. Reich n & S. Napelenok*

MeSH headings : Air Pollutants / analysis; Air Pollution / prevention & control; Bayes Theorem; Databases as Topic; Models, Theoretical; Ozone / chemistry; Reference Standards; Reproducibility of Results; Seasons
TL;DR: Probabilistic modeling is applied to evaluate the effectiveness of emission reduction scenarios aimed at lowering ground-level ozone concentrations and cross validation analysis shows the statistical model performs well compared to observed ozone levels. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 journal article

Bayesian spatial extreme value analysis to assess the changing risk of concurrent high temperatures across large portions of European cropland

ENVIRONMETRICS, 23(8), 638–648.

By: B. Shaby* & B. Reich n

author keywords: max-stable process; agriculture; climate change
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 article

Chang et al. Respond to "Environmental Exposures and Preterm Birth"

Chang, H. H., Reich, B. J., & Miranda, M. L. (2012, January 15). AMERICAN JOURNAL OF EPIDEMIOLOGY, Vol. 175, pp. 111–112.

By: H. Chang*, B. Reich* & M. Miranda

Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 journal article

Circular conditional autoregressive modeling of vector fields

ENVIRONMETRICS, 23(1), 46–53.

By: D. Modlin n, M. Fuentes n & B. Reich n

author keywords: CAR; circular statistics; cross-covariance; hurricane winds; spatial statistics
TL;DR: A multivariate spatial model for vector fields, that is applied to hurricane winds, is presented and compared to prior methods that decompose wind speed and direction into its N-S and W-E cardinal components. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 journal article

Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 107(500), 1610–1624.

By: H. Bondell n & B. Reich n

author keywords: Consistency; Credible region; LASSO; Stochastic search
TL;DR: This work proposes a conjugate prior only on the full model parameters and use sparse solutions within posterior credible regions to perform selection, and shows that these sparse solutions can be computed via existing algorithms. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 journal article

Discussion of "Statistical modeling of spatial extremes" by A. C. Davison, S. A. Padoan and M. Ribatet

Statistical Science, 27(2), 187–201.

By: D. Cooley, S. Sain, D. Gabda, R. Towe, J. Wadsworth, J. Tawn, J. Segers, B. Shaby ...

Source: NC State University Libraries
Added: August 6, 2018

2012 journal article

Evaluating temporally weighted kernel density methods for predicting the next event location in a series

Annals of GIS, 18(3), 225–240.

By: M. Porter & B. Reich n

TL;DR: Results of applying the methodology to identify the optimal parameters and test the performance of temporally weighted kernel density estimation models for predicting the next event in a criminal or terrorist event series indicate that performance can vary greatly by crime type and little by series length and is fairly robust to choice of bandwidth. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: September 8, 2020

2012 journal article

Functional data analysis of mandibular movement using third-degree b-spline basis functions and self-modeling regression

Orthodontic Waves, 71(1), 17–25.

By: K. Hayashi*, M. Hayashi*, B. Reich n, S. Lee*, A. Sachdeva* & I. Mizoguchi*

author keywords: Mandibular movement; Functional data analysis; Spline function; Self-modeling regression; Finite helical axis
TL;DR: The results of this study demonstrated that the calculation of population average curves is effective for clarifying the characteristics of functional data, such as in mandibular movement. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
Sources: Crossref, NC State University Libraries
Added: September 8, 2020

2012 journal article

Nonparametric Bayesian models for a spatial covariance

STATISTICAL METHODOLOGY, 9(1-2), 265–274.

By: B. Reich n & M. Fuentes n

author keywords: Covariance estimation; Dirichlet process prior; Particulate matter; Spectral density
TL;DR: This work proposes a flexible prior for the correlation function to provide robustness to the choice of correlation function and specifies the prior using spectral methods and the Dirichlet process prior, which is a common prior for an unknown distribution function. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 journal article

Spatiotemporal quantile regression for detecting distributional changes in environmental processes

Journal of the Royal Statistical Society. Series C, Applied Statistics, 61, 535–553.

By: B. Reich

Source: NC State University Libraries
Added: August 6, 2018

2012 journal article

Variable selection for high dimensional Bayesian density estimation: application to human exposure simulation

Journal of the Royal Statistical Society. Series C, Applied Statistics, 61, 47–66.

By: B. Reich, E. Kalendra, C. Storlie, H. Bondell & M. Fuentes

Source: NC State University Libraries
Added: August 6, 2018

2011 journal article

A Spatial Dirichlet Process Mixture Model for Clustering Population Genetics Data

BIOMETRICS, 67(2), 381–390.

By: B. Reich n & H. Bondell n

author keywords: Bayesian nonparametrics; Dirichlet process prior; Landscape genetics; Microsatellite data; Model-based clustering
MeSH headings : Algorithms; Animals; Bayes Theorem; Cluster Analysis; Computer Simulation; Genetics, Population / methods; Microsatellite Repeats; Montana; Mustelidae / genetics
TL;DR: A Bayesian clustering algorithm based on the Dirichlet process prior that uses both genetic and spatial information to classify individuals into homogeneous clusters for further study is developed. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 journal article

A spatial beta-binomial model for clustered count data on dental caries

STATISTICAL METHODS IN MEDICAL RESEARCH, 20(2), 85–102.

By: D. Bandyopadhyay*, B. Reich n & E. Slate*

MeSH headings : Bayes Theorem; Biostatistics; Data Interpretation, Statistical; Dental Caries / epidemiology; Dental Caries / pathology; Humans; Likelihood Functions; Models, Statistical; Multivariate Analysis
TL;DR: A multivariate spatial betabinomial (BB) model for these data that accommodates both over-dispersion as well as latent spatial associations and provides a superior estimation and model fit as compared to other sub-models that do not consider modelling spatial associations. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 journal article

Bayesian Spatial Quantile Regression

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 106(493), 6–20.

By: B. Reich n, M. Fuentes n & D. Dunson n

author keywords: Climate change; Ozone; Semiparametric Bayesian methods; Spatial data
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 journal article

Bayesian geostatistical modelling with informative sampling locations

BIOMETRIKA, 98(1), 35–48.

By: D. Pati*, B. Reich n & D. Dunson*

author keywords: Cox process; Gaussian process; Joint model; Point pattern; Posterior consistency; Preferential sampling
TL;DR: A Bayesian approach is proposed, which models the locations using a log Gaussian Cox process, while modelling the outcomes conditionally on the locations as Gaussian with a Gaussian process spatial random effect and adjustment for the location intensity process. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 article

Guest Editors' Introduction to the Special Issue on "Computer Models and Spatial Statistics for Environmental Science"

Reich, B. J., & Haran, M. (2011, December). JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, Vol. 16, pp. 451–452.

By: B. Reich n & M. Haran*

TL;DR: Researchers tackle several important statistical problems that arise in the analysis of computer model output, for example calibrating model output with observed data, comparing and combing output from several computer models and physical observations, and building statistical emulators for computer models to predict the outcome of the models for new sets of input conditions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 journal article

Social inequalities in residential exposure to road traffic noise: An environmental justice analysis based on the RECORD Cohort Study

OCCUPATIONAL AND ENVIRONMENTAL MEDICINE, 68(5), 366–374.

By: S. Havard*, B. Reich n, K. Bean & B. Chaix*

MeSH headings : Adult; Aged; Educational Status; Environmental Exposure / analysis; Environmental Monitoring / methods; Epidemiologic Methods; Epidemiological Monitoring; Female; Geographic Information Systems; Humans; Male; Middle Aged; Noise, Transportation / statistics & numerical data; Paris; Residence Characteristics; Socioeconomic Factors; Urban Health / statistics & numerical data
TL;DR: Contrary to previous literature, this study shows that people living in advantaged neighbourhoods were more exposed to road traffic noise in their residential environment than their deprived counterparts. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 journal article

Sufficient Dimension Reduction via Bayesian Mixture Modeling

BIOMETRICS, 67(3), 886–895.

By: B. Reich n, H. Bondell n & L. Li n

author keywords: Central subspace; Directional regression; Probit link function; Sliced inverse regression; Sufficient dimension reduction
MeSH headings : Bayes Theorem; Data Interpretation, Statistical; HIV; Humans; Models, Statistical
TL;DR: A Bayesian solution for sufficient dimension reduction is proposed that directly model the response density in terms of the sufficient predictors using a finite mixture model and offers a unified framework to handle categorical predictor, missing predictors, and Bayesian variable selection. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 journal article

Surface estimation, variable selection, and the nonparametric oracle property

Statistica Sinica, 21(2), 679–705.

By: C. Storlie, H. Bondell, B. Reich & H. Zhang

Source: NC State University Libraries
Added: August 6, 2018

2010 journal article

A LATENT FACTOR MODEL FOR SPATIAL DATA WITH INFORMATIVE MISSINGNESS

ANNALS OF APPLIED STATISTICS, 4(1), 439–459.

By: B. Reich n & D. Bandyopadhyay n

author keywords: Binary spatial data; informative cluster size; multivariate data; periodontal data; probit regression; shared parameter model
TL;DR: A multivariate spatial framework is developed which jointly models the binary and continuous responses as a function of a single latent spatial process representing general periodontal health and the location of missing teeth and is shown to mitigates the problems presented by these data. (via Semantic Scholar)