Works (68)

Updated: July 30th, 2023 18:45

2022 journal article

<p>Spatial statistical modeling of arsenic accumulation in microsites of diverse soils</p>

GEODERMA, 411.

By: A. Sharma n, J. Guinness n, A. Muyskens n, M. Polizzotto n, M. Fuentes n & D. Hesterberg n

author keywords: Trace elements; Reactive microsites; Correlation; Pedogenic environments; Spatial heterogeneity; Soil complexity
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 31, 2022

2022 article

Partition-Bas'd Nonstationary Covariance Estimation Using the Stochastic Score Approximation

Muyskens, A., Guinness, J., & Fuentes, M. (2022, April 4). JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS.

By: A. Muyskens*, J. Guinness* & M. Fuentes*

author keywords: Circulant embedding; Computational efficiency; Gridded data; Prediction; Spectral density; Temperature
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: April 25, 2022

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

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

Complete spatial model calibration

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

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

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, Crossref, NC State University Libraries
Added: July 1, 2019

2019 journal article

Multi-element effects on arsenate accumulation in a geochemical matrix determined using mu-XRF, mu-XANES and spatial statistics

JOURNAL OF SYNCHROTRON RADIATION, 26, 1967–1979.

By: A. Sharma n, A. Muyskens n, J. Guinness n, M. Polizzotto n, M. Fuentes n, R. Tappero*, Y. Chen-Wiegart*, J. Thieme* ...

author keywords: reactive microsites; multi-component complexity; arsenic; partial correlation; spatial regression
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: February 3, 2020

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

2018 journal article

Bayesian Spectral Modeling for Multivariate Spatial Distributions of Elemental Concentrations in Soil

BAYESIAN ANALYSIS, 13(1), 1–28.

By: M. Terres, M. Fuentes*, D. Hesterberg* & M. Polizzotto*

Contributors: M. Terres, M. Fuentes*, D. Hesterberg* & M. Polizzotto*

author keywords: conditional dependence; lattice; non-separable covariance; quasi-matern spectral density; spatial modeling
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2017 journal article

A non-stationary spatial model for temperature interpolation applied to the state of Rio de Janeiro

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 66(5), 919–939.

By: M. Cunha*, D. Gamerman, M. Fuentes n & M. Paez*

author keywords: Bayesian inference; Convolution; Non-stationarity in space; Spatial interpolation; Surface temperature
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
11. Sustainable Cities and Communities (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2017 journal article

Hydrology and microtopography control carbon dynamics in wetlands: Implications in partitioning ecosystem respiration in a coastal plain forested wetland

AGRICULTURAL AND FOREST METEOROLOGY, 247, 343–355.

By: G. Miao n, A. Noormets n, J. Domec n, M. Fuentes n, C. Trettin*, G. Sun*, S. McNulty*, J. King n

author keywords: Forested wetland; Hydrology; Microtopography; Respiration; Eddy covariance flux; Chamber flux
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Bayesian multinomial probit modeling of daily windows of susceptibility for maternal PM2.5 exposure and congenital heart defects

STATISTICS IN MEDICINE, 35(16), 2786–2801.

By: J. Warren*, J. Stingone*, A. Herring, T. Luben*, M. Fuentes n, A. Aylsworth*, P. Langlois*, L. Botto*, A. Correa*, A. Olshan

author keywords: air pollution; Bayesian modeling; birth defects; critical windows; Gaussian process
MeSH headings : Air Pollutants / toxicity; Bayes Theorem; Female; Heart Defects, Congenital / epidemiology; Humans; Infant, Newborn; Maternal Exposure; Models, Statistical; Particulate Matter; Pregnancy
TL;DR: A multinomial probit model in the Bayesian setting that allows for joint identification of susceptible daily periods during pregnancy for 12 types of congenital heart defects with respect to maternal PM2.5 exposure is introduced. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Comparison of Distributional Statistics of Aquarius and Argo Sea Surface Salinity Measurements

JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 33(1), 103–118.

By: E. Mannshardt n, K. Sucic n, M. Fuentes n & F. Bingham*

UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Fused Adaptive Lasso for Spatial and Temporal Quantile Function Estimation

TECHNOMETRICS, 58(1), 127–137.

By: Y. Sun*, H. Wang* & M. Fuentes n

author keywords: Fused adaptive Lasso; Particulate matter; Quantile estimation; Spatial quantiles; Temporal quantiles
TL;DR: New quantile function estimators for spatial and temporal data with a fused adaptive Lasso penalty to accommodate the dependence in space and time for applications with features ordered in time or space without replicated observations are introduced. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Performance analysis of a poultry engineering chamber complex for animal environment, air quality, and welfare studies

Transactions of the ASABE, 59(5), 1371–1382.

By: A. Shivkumar, L. Wang-Li, S. Shah, L. Stikeleather & M. Fuentes

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

2016 journal article

Spatiotemporal modeling of preterm birth

Handbook of Spatial Epidemiology, 649–663.

By: J. Warren, M. Fuentes, A. Herring & P. Langlois

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

2015 journal article

Likelihood approximations for big nonstationary spatial temporal lattice data

Statistica Sinica, 25(1), 329–349.

By: J. Guinness & M. Fuentes

Source: NC State University Libraries
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

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

Maternal Exposure to Criteria Air Pollutants and Congenital Heart Defects in Offspring: Results from the National Birth Defects Prevention Study

ENVIRONMENTAL HEALTH PERSPECTIVES, 122(8), 863–872.

By: J. Stingone, T. Luben*, J. Daniels, M. Fuentes n, D. Richardson, A. Aylsworth, A. Herring, M. Anderka ...

MeSH headings : Air Pollutants; Female; Heart Defects, Congenital / epidemiology; Heart Defects, Congenital / etiology; Humans; Maternal Exposure / adverse effects; Nitrogen Dioxide / toxicity; Ozone / toxicity; Particulate Matter / toxicity; Pregnancy; Sulfur Dioxide / toxicity
Source: Web Of Science
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 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

Bayesian spatial-temporal model for cardiac congenital anomalies and ambient air pollution risk assessment

ENVIRONMETRICS, 23(8), 673–684.

author keywords: environmental health; multivariate statistics; nonparametric Bayes; spatial statistics; stick-breaking prior
TL;DR: A Bayesian spatial–temporal hierarchical multivariate probit regression model that identifies weeks during the first trimester of pregnancy, which are impactful in terms of cardiac congenital anomaly development, and has the flexibility to outperform competitor models in a number of data settings. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
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

Estimating the Health Impact of Climate Change With Calibrated Climate Model Output

JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 17(3), 377–394.

By: J. Zhou n, H. Chang* & M. Fuentes n

author keywords: Bayesian spatial quantile regression; Model calibration
TL;DR: A Bayesian spatial quantile regression approach to calibrate climate model output for examining to the risks of future temperature on adverse health outcomes and the number of excess deaths attributed to future temperature for three cities in the US state of Alabama is calculated. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

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

Spatial-Temporal Modeling of the Association between Air Pollution Exposure and Preterm Birth: Identifying Critical Windows of Exposure

BIOMETRICS, 68(4), 1157–1167.

author keywords: Air pollution; Bayesian analysis; MCMC; Preterm birth; Probit regression; Spatial model
MeSH headings : Air Pollution / statistics & numerical data; Computer Simulation; Environmental Exposure / statistics & numerical data; Female; Humans; Incidence; Male; Models, Statistical; Pregnancy; Premature Birth / epidemiology; Prenatal Exposure Delayed Effects / epidemiology; Proportional Hazards Models; Risk Factors; Texas / epidemiology
TL;DR: A new Bayesian spatial model for PTB is developed which identifies susceptible windows throughout the pregnancy jointly for multiple pollutants (PM2.5, ozone) while allowing these windows to vary continuously across space and time. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

Time series analysis of personal exposure to ambient air pollution and mortality using an exposure simulator

JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY, 22(5), 483–488.

By: H. Chang*, M. Fuentes n & H. Frey n

Contributors: H. Chang*

author keywords: exposure modeling; particulate matter; time series analysis
MeSH headings : Air Pollution / adverse effects; Environmental Exposure / adverse effects; Environmental Exposure / statistics & numerical data; Humans; Markov Chains; Models, Statistical; Mortality; New York City / epidemiology; Particulate Matter / adverse effects; Risk Assessment; Seasons; Stochastic Processes
TL;DR: A spatial hierarchical model is used to relate Census tract-level daily ambient concentrations and simulated exposures for a subset of the study period and modeling exposure via a statistical model reduces the computational burden associated with simulating personal exposures considerably. (via Semantic Scholar)
Sources: Web Of Science, ORCID, 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

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

Calibration of Numerical Model Output Using Nonparametric Spatial Density Functions

JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 16(4), 531–553.

By: J. Zhou n, M. Fuentes n & J. Davis*

author keywords: Bayesian spatial-quantile regression; CMAQ calibration; Non-crossing quantile
TL;DR: This work introduces an innovative framework to assess model performance, not only based on the two first moments of the model outputs and field data, but also on their entire distributions, using a Bayesian approach for estimation and fitting to characterize uncertainties in data and statistical models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2010 journal article

A framework for evaluating regional-scale numerical photochemical modeling systems

ENVIRONMENTAL FLUID MECHANICS, 10(4), 471–489.

By: R. Dennis*, T. Fox*, M. Fuentes n, A. Gilliland*, S. Hanna, C. Hogrefe*, J. Irwin, S. Rao* ...

author keywords: Air quality model; Photochemical model; Model evaluation; Performance evaluation
TL;DR: A framework for model evaluation is introduced here for determining the suitability of a modeling system for a given application, distinguishing the performance between different models through confidence-testing of model results, guiding model development and analyzing the impacts of regulatory policy options. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2010 journal article

Bayesian Variable Selection for Multivariate Spatially Varying Coefficient Regression

BIOMETRICS, 66(3), 772–782.

By: B. Reich n, M. Fuentes n, A. Herring* & K. Evenson*

author keywords: Bayesian variable selection; Physical activity; Spatial data; Truncated data; Zero-inflation
MeSH headings : Bayes Theorem; Female; Health Behavior; Humans; Motor Activity; North Carolina; Pregnancy / physiology; Residence Characteristics; Social Environment
TL;DR: One of the first studies of pregnant women that examines the impact of characteristics of the built environment on physical activity levels is considered, finding that individual‐level covariates had a greater influence on women's activity levels than neighborhood environmental characteristics, and some individuals had spatially varying associations with the activity levels of pregnantWomen. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2010 journal article

Impact of climate change on ambient ozone level and mortality in Southeastern United States

International Journal of Environmental Research and Public Health, 7(7), 2866–2880.

By: H. Chang, J. Zhou & M. Fuentes

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

2009 journal article

Analysis of the effects of ultrafine particulate matter while accounting for human exposure

ENVIRONMETRICS, 20(2), 131–146.

By: B. Reich n, M. Fuentes* & J. Burke*

author keywords: ecological fallacy; human exposure; dynamic factor model; SHEDS; ultrafine particles
TL;DR: A new dynamic factor analysis model is proposed to relate the ambient concentrations of several sizes of particles with diameters ranging from 0.01 to 0.40 microm with mortality, and a Bayesian model that converts ambient concentrations into simulated personal exposure using the EPA's Stochastic Human Exposure and Dose Simulator is introduced. (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

2009 journal article

Spatial-temporal association between fine particulate matter and daily mortality

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 53(8), 2989–3000.

By: J. Choi*, M. Fuentes* & B. Reich*

TL;DR: A statistical multi-stage Bayesian framework is developed and implemented that provides a very broad, flexible approach to studying the spatiotemporal associations between mortality and population exposure to daily PM(2.5) mass, while accounting for different sources of uncertainty. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2008 journal article

A class of nonseparable and nonstationary spatial temporal covariance functions

ENVIRONMETRICS, 19(5), 487–507.

By: M. Fuentes n, L. Chen* & J. Davis n

author keywords: nonseparability; nonstationarity; spatial temporal models; ambient ozone; spectral density; spatial covariance; spectral domain; non separable covariance; ozone modeling
TL;DR: This work introduces a general and flexible parametric class of spatial temporal covariance models, that allows for lack of stationarity and separability by using a spectral representation of the process. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2008 journal article

A comparative study of Gaussian geostatistical models and Gaussian Markov random field models

JOURNAL OF MULTIVARIATE ANALYSIS, 99(8), 1681–1697.

By: H. Song*, M. Fuentes n & S. Ghosh n

Contributors: H. Song*, M. Fuentes n & S. Ghosh n

TL;DR: Two new metrics of approximation are proposed: the Kullback-Leibler discrepancy of spectral densities and the chi-squared distance between spectral densITIES, which are minimized to obtain the approximations of GGMs and GMRFs. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2008 journal article

A statistical framework to combine multivariate spatial data and physical models for hurricane surface wind prediction

JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 13(1), 37–59.

By: K. Foley n & M. Fuentes n

author keywords: Bayesian inference; nonseparable multivariate models; spatial statistics; storm surge; wind fields
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2008 article

Comments on: Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds

Fuentes, M. (2008, August). TEST, Vol. 17, pp. 245–248.

By: M. Fuentes n

UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2008 journal article

SPATIAL-TEMPORAL MESOSCALE MODELING OF RAINFALL INTENSITY USING GAGE AND RADAR DATA

ANNALS OF APPLIED STATISTICS, 2(4), 1148–1169.

By: M. Fuentes n, B. Reich n & G. Lee n

author keywords: Conditionally autoregressive models; full symmetry; nonstationarity; rainfall modelling; spatial logistic regression; spatial-temporal models
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2008 journal article

SPECIAL SECTION ON STATISTICS IN THE ATMOSPHERIC SCIENCES

ANNALS OF APPLIED STATISTICS, 2(4), 1143–1147.

By: M. Fuentes*, P. Guttorp & M. Stein

author keywords: Meteorology; precipitation forecasting; Markov models; data assimilation; air pollution; climate change
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2008 journal article

Testing lack of symmetry in spatial-temporal processes

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 138(10), 2847–2866.

By: M. Park* & M. Fuentes n

author keywords: symmetry; separability; spatial-temporal process; spectral density function; air pollution
TL;DR: New formal tests for lack of symmetry are proposed by using spectral representations of the spatial-temporal covariance functions by using classical analysis of variance (ANOVA) models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2007 journal article

A MULTIVARIATE SEMIPARAMETRIC BAYESIAN SPATIAL MODELING FRAMEWORK FOR HURRICANE SURFACE WIND FIELDS

ANNALS OF APPLIED STATISTICS, 1(1), 249–264.

By: B. Reich* & M. Fuentes*

author keywords: Hierarchical Bayesian model; multivariate data; spatial statistics; stick-breaking prior; wind fields
UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2007 journal article

Approximate likelihood for large irregularly spaced spatial data

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 102(477), 321–331.

By: M. Fuentes n

author keywords: Anisotropy; covariance; Fourier transform; periodogram; satellite data; sea surface temperatures; spatial likelihood; spatial statistics
TL;DR: A version of Whittle's approximation to the Gaussian log-likelihood for spatial regular lattices with missing values and for irregularly spaced datasets, which requires O(nlog2n) operations and does not involve calculating determinants. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
14. Life Below Water (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2007 journal article

Bayesian entropy for spatial sampling design of environmental data

ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 14(3), 323–340.

By: M. Fuentes n, A. Chaudhuri* & D. Holland*

author keywords: Bayesian inference; matern covariance; national air quality standards; nonstationarity; simulated annealing; spatial statistics
TL;DR: This work develops a spatial statistical methodology to design national air pollution monitoring networks with good predictive capabilities while minimizing the cost of monitoring, and proposes a Bayesian method of estimating the associated parameters using the technique of Reversible Jump Markov Chain Monte Carlo. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2006 journal article

A real-time hurricane surface wind forecasting model: Formulation and verification

MONTHLY WEATHER REVIEW, 134(5), 1355–1370.

By: L. Xie n, S. Bao n, L. Pietrafesa n, K. Foley n & M. Fuentes n

UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2006 journal article

Sensitivity of ecological models to their climate drivers: Statistical ensembles for forcing

ECOLOGICAL APPLICATIONS, 16(1), 99–116.

By: M. Fuentes n, T. Kittel* & D. Nychka*

author keywords: Bayesian inference; ecological numerical models; kriging; nonstationary process; spatial statistics; variogram
MeSH headings : Animals; Climate; Computer Simulation; Ecology; Ecosystem; Humans; Models, Biological; Models, Theoretical; Population Density; Sensitivity and Specificity; Time Factors; Uncertainty; United States
TL;DR: This work introduces a Bayesian statistical framework to model climate observations to create spatially uniform and temporally complete fields, and shows how uncertainty in predicted precipitation fields is propagated into ecological model results and that this propagation had different modes. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2006 journal article

Spatial association between speciated fine particles and mortality

BIOMETRICS, 62(3), 855–863.

By: M. Fuentes n, H. Song n, S. Ghosh n, D. Holland* & J. Davis n

Contributors: M. Fuentes n, H. Song n, S. Ghosh n, D. Holland* & J. Davis n

author keywords: ambient air pollution; Bayesian hierarchical models; conditional autoregressive models; environmental epidemiology; particulate matter; spatial statistics
MeSH headings : Air Pollutants / toxicity; Bayes Theorem; Biometry; Cardiovascular Diseases / etiology; Cardiovascular Diseases / mortality; Humans; Models, Biological; Models, Statistical; Mortality; Particle Size; Regression Analysis; Respiratory Tract Diseases / etiology; Respiratory Tract Diseases / mortality; Risk; United States / epidemiology
TL;DR: A multivariate spatial regression model is developed for the estimation of the risk of mortality associated with fine PM and its components across all counties in the conterminous United States and shows that in the Western United States, the nitrate and crustal components of the speciated fine PM seem to have more impact on mortality than the other components. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2006 journal article

Testing for separability of spatial-temporal covariance functions

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 136(2), 447–466.

By: M. Fuentes n

author keywords: covariance; Fourier transform; periodogram; spectral density; weakly stationarity
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2006 journal article

Using multispectral satellite imagery to estimate leaf area and response to silvicultural treatments in loblolly pine stands

CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE, 36(6), 1587–1596.

By: F. Flores, H. Allen*, H. Cheshire*, J. Davis*, M. Fuentes* & D. Kelting

TL;DR: The results suggest that stand LAI of loblolly pine plantations can be accurately estimated from readily available remote sensing data and provide an opportunity to apply the findings from ecophysiological studies in field plots to forest management decisions at an operational scale. (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

2005 journal article

A formal test for nonstationarity of spatial stochastic processes

JOURNAL OF MULTIVARIATE ANALYSIS, 96(1), 30–54.

By: M. Fuentes n

author keywords: anisotropy; covariance; Fourier transform; geostatistics; periodogram; spatial statistics; tapering; variogram
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2005 journal article

Model evaluation and spatial interpolation by Bayesian combination of observations with outputs from numerical models

BIOMETRICS, 61(1), 36–45.

By: M. Fuentes n & A. Raftery*

author keywords: air pollution; deterministic simulation models; environmental statistics; geostatistics; spatial statistics
MeSH headings : Air Pollution / statistics & numerical data; Algorithms; Bayes Theorem; Biometry; Computer Graphics; Maps as Topic; Models, Statistical; Sulfur Dioxide
TL;DR: Formal methods for combining sources of information with different spatial resolutions and for the evaluation of numerical models are developed and it is concluded that the numerical models perform worse in areas closer to power plants, where the SO2 values are overestimated by the models. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2005 article

Modeling and predicting complex space-time structures and patterns of coastal wind fields

Fuentes, M., Chen, L., Davis, J. M., & Lackmann, G. M. (2005, August). ENVIRONMETRICS, Vol. 16, pp. 449–464.

By: M. Fuentes n, L. Chen n, J. Davis n & G. Lackmann n

author keywords: Bayesian inference; Fourier transform; geostatistics; meteorological mesoscale model (MM5); non-separable models; non-stationary models; wind fields
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
14. Life Below Water (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2005 article

Special issue - Environmental and health statistics

Fuentes, M., & Boos, D. D. (2005, August). ENVIRONMETRICS, Vol. 16, pp. 421–421.

By: M. Fuentes n & D. Boos n

Source: Web Of Science
Added: August 6, 2018

2004 journal article

Nonstationary multivariate process modeling through spatially varying coregionalization - Discussion

TEST, 13(2), 295–312.

By: M. Fuentes, D. Higdon, B. Sanso, A. Gelfand, A. Schmidt, S. Banerjee, C. Sirmans

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

2004 article

Role of wavelets in the physical and statistical modelling of complex geological processes

Yuen, D. A., Erlebacher, G., Vasilyev, O. V., Goldstein, D. E., & Fuentes, M. (2004, December). PURE AND APPLIED GEOPHYSICS, Vol. 161, pp. 2231–2244.

By: D. Yuen*, G. Erlebacher*, O. Vasilyev*, D. Goldstein* & M. Fuentes n

author keywords: wavelets; second generation wavelets; physical modelling; statistical modelling; geological processes
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2003 journal article

Mesoscale variability of Sea-viewing Wide Field-of-view Sensor(SeaWiFS) satellite ocean color: Global patterns and spatial scales

Journal of Geophysical Research. Oceans, 108(C2), 3024–3021.

By: S. Doney, D. Glover, S. Mccue & M. Fuentes

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

2003 journal article

Recent advances in space-time statistics with applications to environmental data: An overview

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 108(D24).

By: J. Mateu*, F. Montes* & M. Fuentes n

author keywords: atmospheric data; environmental statistics; spatiotemporal statistical modeling; special issue
TL;DR: The overall aim is to present up-to-date developments in spatial and spatiotemporal statistics in the field of the atmosphere, to present on-going research, and to discuss important problems to be addressed in the near future. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2003 journal article

Statistical assessment of geographic areas of compliance with air quality standards

Journal of Geophysical Research. Atmospheres, 108(D24).

By: M. Fuentes

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

2003 journal article

Statistical assessment of numerical models

International Statistical Review, 71(2), 201–221.

By: M. Fuentes, P. Guttorp & P. Challenor

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

2002 journal article

Spectral methods for nonstationary spatial processes

BIOMETRIKA, 89(1), 197–210.

By: M. Fuentes*

author keywords: anisotropy; covariance; edge effect; Fourier transform; geostatistics; kernel smoothing; periodogram; spatial statistics; variogram
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2001 journal article

A high frequency kriging approach for non-stationary environmental processes

Environmetrics, 12(5), 469–483.

By: M. Fuentes n

UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: NC State University Libraries
Added: August 6, 2018

2001 journal article

Fixed-domain asymptotics for variograms using subsampling

MATHEMATICAL GEOLOGY, 33(6), 679–691.

By: M. Fuentes n

author keywords: empirical variogram; fixed domain; geostatistics; infill asymptotics; spatial statistics; subsampling
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2000 journal article

Predicting integrals of diffusion processes

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 90(2), 183–193.

By: M. Fuentes n

author keywords: diffusion process; fixed-domain asymptotics; infill asymptotics; numerical integration
TL;DR: It is proved that the standardized conditional prediction error is approximately Gaussian with mean zero and unit variance, even though the underlying diffusion is generally non-Gaussian. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2000 article

Threshold dependence of mortality effects for fine and coarse particles in Phoenix, Arizona

Smith, R. L., Spitzner, D., Kim, Y., & Fuentes, M. (2000, August). JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, Vol. 50, pp. 1367–1379.

By: R. Smith*, D. Spitzner*, Y. Kim n & M. Fuentes n

MeSH headings : Aged; Air Pollution / adverse effects; Arizona / epidemiology; Epidemiologic Studies; Female; Humans; Male; Models, Theoretical; Mortality / trends; Particle Size; Regression Analysis; Seasons; Sensitivity and Specificity; Urban Population
TL;DR: The PM effect is highest in spring and summer, when the anthropogenic concentration of coarse PM is lowest as determined by a principal components analysis, and consideration of nonlinear effects can lead to real changes of interpretation and raises the possibility of seasonal effects associated with the chemical composition of PM. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

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