Valid Model-Free Spatial Prediction von Mao, Huiying, Martin, Ryan, Reich, Brian J.

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The recent past and promising future for data integration methods to estimate species’ distributions von Miller, David A. W., Pacifici, Krishna, Sanderlin, Jamie S., Reich, Brian J., Gardner, Beth

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Long-term, medium spatial resolution annual land surface phenology with a Bayesian hierarchical model von Gao, Xiaojie, Gray, Josh M., Reich, Brian J.

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Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love von Hodges, James S., Reich, Brian J.

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Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin von Reich, Brian J., Yang, Shu, Guan, Yawen

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Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior von Zhang, Yan Dora, Naughton, Brian P., Bondell, Howard D., Reich, Brian J.

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Scalar-on-image regression via the soft-thresholded Gaussian process von KANG, JIAN, REICH, BRIAN J., STAICU, ANA-MARIA

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Distributed Inference for Spatial Extremes Modeling in High Dimensions von Hector, Emily C., Reich, Brian J.

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Spatiotemporal quantile regression for detecting distributional changes in environmental processes von Reich, Brian J.

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Integrating multiple data sources in species distribution modeling: a framework for data fusion von Pacifici, Krishna, Reich, Brian J., Miller, David A. W., Gardner, Beth, Stauffer, Glenn, Singh, Susheela, McKerrow, Alexa, Collazo, Jaime A.

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Confounder selection via penalized credible regions von Wilson, Ander, Reich, Brian J

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The ecology of microscopic life in household dust von Barberán, Albert, Dunn, Robert R., Reich, Brian J., Pacifici, Krishna, Laber, Eric B., Menninger, Holly L., Morton, James M., Henley, Jessica B., Leff, Jonathan W., Miller, Shelly L., Fierer, Noah

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Bayesian Spatial Quantile Regression von Reich, Brian J., Fuentes, Montserrat, Dunson, David B.

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Bayesian nonparametric quantile process regression and estimation of marginal quantile effects von Xu, Steven G., Reich, Brian J.

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Simultaneous Regression Shrinkage, Variable Selection, and Supervised Clustering of Predictors with OSCAR von Bondell, Howard D., Reich, Brian J.

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A deep learning approach to identify smoke plumes in satellite imagery in near-real time for health risk communication von Larsen, Alexandra, Hanigan, Ivan, Reich, Brian J., Qin, Yi, Cope, Martin, Morgan, Geoffrey, Rappold, Ana G.

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A Space-Time Skew-t Model for Threshold Exceedances von Morris, Samuel A., Reich, Brian J., Thibaud, Emeric, Cooley, Daniel

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A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications von Reich, Brian J., Yang, Shu, Guan, Yawen, Giffin, Andrew B., Miller, Matthew J., Rappold, Ana

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Resolving misaligned spatial data with integrated species distribution models von Pacifici, Krishna, Reich, Brian J., Miller, David A. W., Pease, Brent S.

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A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration von Berrocal, Veronica J., Guan, Yawen, Muyskens, Amanda, Wang, Haoyu, Reich, Brian J., Mulholland, James A., Chang, Howard H.

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