Works (19)

Updated: August 8th, 2024 05:01

2024 journal article

A Gaussian-process approximation to a spatial SIR process using moment closures and emulators

BIOMETRICS, 80(3).

By: P. Trostle n, J. Guinness* & B. Reich n

author keywords: emulator models; moment-closure approximations; SIR models; spatiotemporal epidemiology
Sources: Web Of Science, NC State University Libraries
Added: August 5, 2024

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

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

2021 journal article

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

BIOMETRICS, 78(2), 548–559.

author keywords: Cholesky decomposition; diffusion tensor imaging; geostatistical modeling; positive&#8208; 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)
Sources: Web Of Science, NC State University Libraries
Added: March 8, 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

2020 journal article

BASELINE DRIFT ESTIMATION FOR AIR QUALITY DATA USING QUANTILE TREND FILTERING

ANNALS OF APPLIED STATISTICS, 14(2), 585–604.

By: H. Brantley n, J. Guinness* & E. Chi

author keywords: Air quality; nonparametric quantile regression; trend estimation
TL;DR: The model provides better quantile trend estimates than existing methods and improves signal classification of low-cost air quality sensor output and proposes a parallelizable alternating direction method of moments (ADMM) algorithm to handle the computational challenge posed by very long time series. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: July 20, 2020

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

2018 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

2018 journal article

Compression and Conditional Emulation of Climate Model Output

Journal of the American Statistical Association, 113(521), 56–67.

By: J. Guinness n & D. Hammerling*

author keywords: Gaussian process; Half-spectral; Nonstationary; Spatial-temporal data; SPDE
TL;DR: A statistical compression and decompression algorithm based on storing a set of summary statistics as well as a statistical model describing the conditional distribution of the full dataset given the summary statistics is proposed. (via Semantic Scholar)
Source: Crossref
Added: February 24, 2020

2018 journal article

Permutation and Grouping Methods for Sharpening Gaussian Process Approximations

TECHNOMETRICS, 60(4), 415–429.

By: J. Guinness n

author keywords: Conditional simulation; Kriging; Parallel computation; Spatial-temporal data; Vecchia's approximation
TL;DR: It is demonstrated the surprising result that random orderings can give dramatically sharper approximations than default coordinate-based orderings, including tapered covariances and stochastic partial differential equations. (via Semantic Scholar)
Source: Web Of Science
Added: February 18, 2019

2018 journal article

Space-Time Geostatistical Assessment of Hypoxia in the Northern Gulf of Mexico

ENVIRONMENTAL SCIENCE & TECHNOLOGY, 52(21), 12484–12493.

MeSH headings : Gulf of Mexico; Humans; Hypoxia; Oxygen; Seasons; Water
TL;DR: An innovative space-time geostatistical model and data collected by multiple research organizations are used to estimate bottom-water dissolved oxygen concentrations and hypoxic area across summers from 1985 to 2016, finding that 27% of variability in BWDO is explained by deterministic trends with location, depth, and date, while correlated stochasticity accounts for 62% of observational variance. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: December 3, 2018

2017 journal article

Circulant Embedding of Approximate Covariances for Inference From Gaussian Data on Large Lattices

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 26(1), 88–97.

By: J. Guinness n & M. Fuentes*

author keywords: Conditional simulation; Fast Fourier transform; Gaussian process; Kriging
TL;DR: This work proposes the use of a discrete spectral approximation to allow for the implementation of Markov chain Monte Carlo and Monte Carlo expectation–maximization methods on smaller embedding lattices, and demonstrates that the approximate methods are also faster to compute. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2017 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

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

2016 journal article

An evolutionary spectrum approach to incorporate large-scale geographical descriptors on global processes

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 66(2), 329–344.

By: S. Castruccio* & J. Guinness n

author keywords: Axial symmetry; Climate output compression; Evolutionary spectrum; Global space-time model; Land-ocean non-stationarity
TL;DR: An evolutionary spectrum approach is proposed that can account for different regimes across the Earth's geography and results in a more general and flexible class of models that vastly outperforms axially symmetric models and captures longitudinal patterns that would otherwise be assumed constant. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Isotropic covariance functions on spheres: Some properties and modeling considerations

Journal of Multivariate Analysis, 143, 143–152.

By: J. Guinness n & M. Fuentes n

author keywords: Kriging; Fourier series; Positive definite functions
TL;DR: This paper defines the notion of and proves a characterization theorem for m times mean square differentiable processes on d -dimensional spheres and proves that the resulting sphere-restricted process retains its differentiability properties, which has the important implication that the Matern family retains its full range of smoothness when applied to spheres so long as Euclidean distance is used. (via Semantic Scholar)
Source: Crossref
Added: February 24, 2020

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

2014 journal article

Multivariate spatial modeling of conditional dependence in microscale soil elemental composition data

Spatial Statistics, 9(C), 93–108.

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

Contributors: J. Guinness n, M. Fuentes, D. Hesterberg n & M. Polizzotto n

UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Crossref, ORCID
Added: October 26, 2019

2013 journal article

INTERPOLATION OF NONSTATIONARY HIGH FREQUENCY SPATIAL-TEMPORAL TEMPERATURE DATA

ANNALS OF APPLIED STATISTICS, 7(3), 1684–1708.

By: J. Guinness n & M. Stein n

author keywords: Nonstationary process; spatial-temporal modeling; evolutionary spectrum; spatial-temporal jumps
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

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