Brian J Reich

发表

A LATENT FACTOR MODEL FOR SPATIAL DATA WITH INFORMATIVE MISSINGNESS.

Dipankar Bandyopadhyay, Brian J Reich, B. Reich, 2010, The annals of applied statistics.

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

Shu Yang, Brian J Reich, Yawen Guan, 2020, International statistical review = Revue internationale de statistique.

Spatiotemporal signal detection using continuous shrinkage priors

Dipankar Bandyopadhyay, Brian J Reich, An-Ting Jhuang, 2020, Statistics in medicine.

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

Krishna Pacifici, Brian J Reich, David A W Miller, 2017, Ecology.

Spatiotemporal Modeling of Node Temperatures in Supercomputers

Brian J Reich, Curtis B Storlie, William N Rust, 2015, 1505.06275.

Confounder selection via penalized credible regions

Brian J Reich, Ander Wilson, B. Reich, 2014, Biometrics.

Spatial health effects analysis with uncertain residential locations

Brian J Reich, Howard H Chang, Matthew J Strickland, 2014, Statistical methods in medical research.

Resolving misaligned spatial data with integrated species distribution models

Krishna Pacifici, Brian J Reich, David A W Miller, 2019, Ecology.

A space‐time skew‐t model for threshold exceedances

Daniel Cooley, Brian J Reich, Samuel A Morris, 2017, Biometrics.

Modeling Longitudinal Spatial Periodontal Data: A Spatially Adaptive Model with Tools for Specifying Priors and Checking Fit

James S Hodges, Brian J Reich, J. Hodges, 2008, Biometrics.

Optimal treatment allocations in space and time for on‐line control of an emerging infectious disease

John M Drake, Krishna Pacifici, Eric B. Laber, 2018, Journal of the Royal Statistical Society. Series C, Applied statistics.

A spectral method for spatial downscaling

Howard H. Chang, Brian J Reich, Howard H Chang, 2014, Biometrics.

DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction pdf

Ying Sun, Yuxiao Li, Brian J Reich, 2020, ArXiv.

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

Matthias Katzfuss, Margaret Johnson, Joon Jin Song, 2018, Journal of the American Statistical Association.

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

Eric B. Laber, Noah Fierer, Eric B Laber, 2020, Forensic science international.

Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions

Brian J Reich, Howard D Bondell, H. Bondell, 2012, Journal of the American Statistical Association.

Bayesian analysis of a reduced-form air quality model.

Brian J Reich, Sergey L Napelenok, Kristen M Foley, 2012, Environmental science & technology.

Bayesian non-parametric quantile process regression and estimation of marginal quantile effects.

Brian J Reich, Steven G Xu, Steven G. Xu, 2021, Biometrics.

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

Dipankar Bandyopadhyay, Joseph Guinness, Brian J Reich, 2019, Biometrics.

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration.

James A. Mulholland, Veronica J. Berrocal, Howard H. Chang, 2019, Atmospheric environment.

A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness

Dipankar Bandyopadhyay, Brian J Reich, Howard D Bondell, 2013, Journal of the American Statistical Association.

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

Montserrat Fuentes, Brian J Reich, M. Fuentes, 2009, Environmetrics.

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

Joshua L Warren, Howard H. Chang, Brian J Reich, 2015, Biostatistics.

A spatial dirichlet process mixture model for clustering population genetics data.

Brian J Reich, Howard D Bondell, H. Bondell, 2011, Biometrics.

Spatial variable selection methods for investigating acute health effects of fine particulate matter components

Montserrat Fuentes, Francesca Dominici, Brian J Reich, 2015, Biometrics.

Bayesian modeling of multivariate spatial binary data with applications to dental caries

Dipankar Bandyopadhyay, Brian J Reich, B. Reich, 2009, Statistics in medicine.

Hierarchical dose–response modeling for high‐throughput toxicity screening of environmental chemicals

David M. Reif, David M Reif, Brian J Reich, 2014, Biometrics.

A HIERARCHICAL MAX-STABLE SPATIAL MODEL FOR EXTREME PRECIPITATION.

Brian J Reich, B. Shaby, B. Reich, 2013, The annals of applied statistics.

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

Basile Chaix, Brian J Reich, Sabrina Havard, 2011, Occupational and Environmental Medicine.

Surface Estimation, Variable Selection, and the Nonparametric Oracle Property.

Brian J Reich, Howard D Bondell, Curtis B Storlie, 2011, Statistica Sinica.

Nonparametric Bayesian models for a spatial covariance.

Montserrat Fuentes, Brian J Reich, M. Fuentes, 2012, Statistical methodology.

The ecology of microscopic life in household dust

Krishna Pacifici, Eric B. Laber, Noah Fierer, 2015, Proceedings of the Royal Society B: Biological Sciences.

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

Montserrat Fuentes, Brian J Reich, Penny Gordon-Larsen, 2015, The annals of applied statistics.

Sufficient dimension reduction via bayesian mixture modeling.

Lexin Li, Brian J Reich, Howard D Bondell, 2011, Biometrics.

A nonparametric Bayesian test of dependence

Brian J Reich, Howard D Bondell, Yimin Kao, 2015 .

A class of covariate-dependent spatiotemporal covariance functions.

Jo Eidsvik, Michele Guindani, Brian J Reich, 2011, The annals of applied statistics.