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stat.ME2025
Causal Spatial Quantile Regression
Yan Gong, Reetam Majumder, Brian J. Reich +1
Treatment effects in a wide range of economic, environmental, and epidemiological applications often vary across space, and understanding the heterogeneity of causal effects across…
stat.ME2024
Stochastic Gradient MCMC for Massive Geostatistical Data
Mohamed A. Abba, Brian J. Reich, Reetam Majumder +1
Gaussian processes (GPs) are commonly used for prediction and inference for spatial data analyses. However, since estimation and prediction tasks have cubic time and quadratic memo…
stat.ME2024
A Bayesian shrinkage estimator for transfer learning
Mohamed A. Abba, Jonathan P. Williams, Brian J. Reich
Transfer learning (TL) has emerged as a powerful tool to supplement data collected for a target task with data collected for a related source task. The Bayesian framework is natura…