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09/05/2023
Detecting Spatial Health Disparities Using Disease Maps
Epidemiologists commonly use regional aggregates of health outcomes to m...
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07/02/2023
Bayesian Hierarchical Modeling and Inference for Mechanistic Systems in Industrial Hygiene
A series of experiments in stationary and moving passenger rail cars wer...
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06/18/2023
Finite Population Survey Sampling: An Unapologetic Bayesian Perspective
This article attempts to offer some perspectives on Bayesian inference f...
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04/24/2023
Exact Bayesian Geostatistics Using Predictive Stacking
We develop Bayesian predictive stacking for geostatistical models. Our a...
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02/13/2023
Models to support forest inventory and small area estimation using sparsely sampled LiDAR: A case study involving G-LiHT LiDAR in Tanana, Alaska
A two-stage hierarchical Bayesian model is proposed to estimate forest b...
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02/10/2023
Bayesian modeling with spatial curvature processes
Spatial process models are widely used for modeling point-referenced var...
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09/13/2022
On the Relationship between Graphical Gaussian Processes and Functional Gaussian Graphical Models
Multivariate functional or spatial data are commonly analysed using mult...
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08/12/2022
Dynamic Bayesian Learning and Calibration of Spatiotemporal Mechanistic Systems
We develop an approach for fully Bayesian learning and calibration of sp...
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04/30/2022
Bayesian Models for Multivariate Difference Boundary Detection in Areal Data
Regional aggregates of health outcomes over delineated administrative un...
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04/06/2022
Joint species distribution models with imperfect detection for high-dimensional spatial data
Determining spatial distributions of species and communities are key obj...
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03/29/2022
bayesassurance: An R package for calculating sample size and Bayesian assurance
We present a bayesassurance R package that computes the Bayesian assuran...
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03/22/2022
Nonstationary Nearest Neighbor Gaussian Process: hierarchical model architecture and MCMC sampling
Nonstationary spatial modeling presents several challenges including, bu...
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12/07/2021
A Unifying Bayesian Approach for Sample Size Determination Using Design and Analysis Priors
Power and sample size analysis comprises a critical component of clinica...
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10/15/2021
Multi-group Gaussian Processes
Gaussian processes (GPs) are pervasive in functional data analysis, mach...
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09/09/2021
Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Regression Framework
Geographic Information Systems (GIS) and related technologies have gener...
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04/08/2021
Fixed-Domain Inference for Gausian Processes with Matérn Covariogram on Compact Riemannian Manifolds
Gaussian processes are widely employed as versatile modeling and predict...
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02/04/2021
Hierarchical Multivariate Directed Acyclic Graph Auto-Regressive (MDAGAR) models for spatial diseases mapping
Disease mapping is an important statistical tool used by epidemiologists...
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02/03/2021
A Compartment Model of Human Mobility and Early Covid-19 Dynamics in NYC
In this paper, we build a mechanistic system to understand the relation ...
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01/21/2021
Fixed-Domain Asymptotics Under Vecchia's Approximation of Spatial Process Likelihoods
Statistical modeling for massive spatial data sets has generated a subst...
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01/10/2021
Grid-Parametrize-Split (GriPS) for Improved Scalable Inference in Spatial Big Data Analysis
Rapid advancements in spatial technologies including Geographic Informat...
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01/05/2021
Bayesian hierarchical modeling and analysis for physical activity trajectories using actigraph data
Rapid developments in streaming data technologies are continuing to gene...
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09/10/2020
Graphical Gaussian Process Models for Highly Multivariate Spatial Data
For multivariate spatial (Gaussian) process models, common cross-covaria...
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05/31/2020
Spatial Factor Modeling: A Bayesian Matrix-Normal Approach for Misaligned Data
Multivariate spatially-oriented data sets are prevalent in the environme...
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03/25/2020
Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains
We introduce a class of scalable Bayesian hierarchical models for the an...
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03/23/2020
High-dimensional multivariate Geostatistics: A Bayesian Matrix-Normal Approach
Joint modeling of spatially-oriented dependent variables are commonplace...
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01/24/2020
R package for Nearest Neighbor Gaussian Process models
This paper describes and illustrates functionality of the spNNGP R packa...
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11/26/2019
Spatial Modeling for Correlated Cancers Using Bivariate Directed Graphs
Disease maps are an important tool in cancer epidemiology used for the a...
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08/15/2019
On identifiability and consistency of the nugget in Gaussian spatial process models
Spatial process models popular in geostatistics often represent the obse...
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07/23/2019
Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data
A key challenge in spatial statistics is the analysis for massive spatia...
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06/16/2019
Bayesian Finite Population Modeling for Spatial Process Settings
We develop a Bayesian model-based approach to finite population estimati...
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03/07/2019
Bayesian spatially varying coefficient models in the spBayes R package
This paper describes and illustrates the addition of the spSVC function ...
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11/09/2018
A Note on the comparison of Nearest Neighbor Gaussian Process (NNGP) based models
This note is devoted to the comparison between two Nearest-neighbor Gaus...
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07/06/2018
Coastline Kriging: A Bayesian Approach
Statistical interpolation of chemical concentrations at new locations is...
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07/06/2018
Bayesian State Space Modeling of Physical Processes in Industrial Hygiene
Exposure assessment models are deterministic models derived from physica...
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05/02/2018
Toward a diagnostic toolkit for linear models with Gaussian-process distributed random effects
Gaussian processes (GPs) are widely used as distributions of random effe...
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02/16/2018
Scalable Inference for Space-Time Gaussian Cox Processes
The log-Gaussian Cox process is a flexible and popular class of point pa...
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02/01/2018
Practical Bayesian Modeling and Inference for Massive Spatial Datasets On Modest Computing Environments
With continued advances in Geographic Information Systems and related co...
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11/15/2017