Brian J. Reich

1. A review of spatial causal inference methods for environmental and\n epidemiological applications
   2020/07/06 by Brian J. Reich, Shu Yang, Reich, Brian J +9 · 8 citations
   Mathematics · Medicine · #Advanced Causal Inference Techniques #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
2. A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications
   2021/05/31 by Brian J. Reich, Shu Yang, Yawen Guan +5 · 8 citations
   Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
3. DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
   2020/07/23 by Wanfang Chen, Chen, Wanfang, Yuxiao Li +5 · 7 citations
   Economics, Econometrics and Finance · #Applications (stat.AP) #Economic and Environmental Valuation #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Spatial and Panel Data Analysis
4. Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting
   2023/06/20 by Pratik Nag, Ying Sun, Nag, Pratik +3 · 5 citations
   Environmental Science · Computer Science · Earth and Planetary Sciences · #Air Quality Monitoring and Forecasting #Gaussian Processes and Bayesian Inference #Meteorological Phenomena and Simulations
5. Generalized propensity score approach to causal inference with spatial interference
   2020/06/30 by Andrew Giffin, Giffin, Andrew, Brian J. Reich +5 · 2 citations
   Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #Economic and Environmental Valuation #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
6. The R2D2 Prior for Generalized Linear Mixed Models
   2021/11/21 by Eric Yanchenko, Howard D. Bondell, Yanchenko, Eric +3 · 2 citations
   Mathematics · Computer Science · #Statistical Methods and Bayesian Inference #Bayesian Methods and Mixture Models #Statistical Methods and Inference
7. Distributed Inference for Spatial Extremes Modeling in High Dimensions
   2022/04/29 by Emily C. Hector, Hector, Emily C., Brian J. Reich +1 · 1 citation
   Economics, Econometrics and Finance · Environmental Science · Mathematics · #FOS: Computer and information sciences #Methodology (stat.ME) #Soil Geostatistics and Mapping #Spatial and Panel Data Analysis #Statistical Methods and Inference
8. A multivariate spatial skew-t process for joint modeling of extreme\n precipitation indexes
   2018/12/31 by Arnab Hazra, Hazra, Arnab, Brian J. Reich +3 · 1 citation
   Agricultural and Biological Sciences · Economics, Econometrics and Finance · Environmental Science · Social Sciences · #Agricultural Economics and Policy #Applications (stat.AP) #FOS: Computer and information sciences #Insurance, Mortality, Demography, Risk Management #Soil Geostatistics and Mapping #Spatial and Panel Data Analysis
9. Estimating intervention effects on infectious disease control: the effect of community mobility reduction on Coronavirus spread
   2021/03/07 by Andrew Giffin, Wenlong Gong, Giffin, Andrew +9 · 1 citation
   Economics, Econometrics and Finance · Mathematics · Social Sciences · #COVID-19 Pandemic Impacts #COVID-19 epidemiological studies #FOS: Computer and information sciences #Methodology (stat.ME) #Vaccine Coverage and Hesitancy
10. Exploration and inference in spatial extremes using empirical basis\n functions
    2018/08/01 by Samuel A. Morris, Brian J. Reich, Morris, Samuel A. +3 · 1 citation
    Environmental Science · Economics, Econometrics and Finance · Decision Sciences · #Climate variability and models #Spatial and Panel Data Analysis #demographic modeling and climate adaptation