activity
20002026
most citedBART: Bayesian additive regression trees

1.6k citations · 2.2k across the 28 of their papers we have counts for

collaborators

29 papers

math.ST2026

Proper Bayes minimax multiple shrinkage estimation

Pankaj Bhagwat, William E. Strawderman, Edward I. George

For the canonical problem of estimating a multivariate normal mean under squared error loss, we demonstrate, for the first time, the existence of proper Bayes minimax multiple shri…

math.ST2022

Ensemble minimaxity of James-Stein estimators

Yuzo Maruyama, Lawrence D. Brown, Edward I. George

This article discusses estimation of a multivariate normal mean based on heteroscedastic observations. Under heteroscedasticity, estimators shrinking more on the coordinates with l…

stat.ME2022★ 2 cited

Influential Observations in Bayesian Regression Tree Models

Matthew T. Pratola, Edward I. George, Robert E. McCulloch

BCART (Bayesian Classification and Regression Trees) and BART (Bayesian Additive Regression Trees) are popular Bayesian regression models widely applicable in modern regression pro…

stat.ME2021★ 1 cited

Clustering Areal Units at Multiple Levels of Resolution to Model Crime in Philadelphia

Cecilia Balocchi, Edward I. George, Shane T. Jensen

Estimation of the spatial heterogeneity in crime incidence across an entire city is an important step towards reducing crime and increasing our understanding of the physical and so…

stat.ME2020★ 42 cited

Spike-and-Slab Meets LASSO: A Review of the Spike-and-Slab LASSO

Ray Bai, Veronika Rockova, Edward I. George

High-dimensional data sets have become ubiquitous in the past few decades, often with many more covariates than observations. In the frequentist setting, penalized likelihood metho…

stat.AP2019

Crime in Philadelphia: Bayesian Clustering with Particle Optimization

Cecilia Balocchi, Sameer K. Deshpande, Edward I. George +1

Accurate estimation of the change in crime over time is a critical first step towards better understanding of public safety in large urban environments. Bayesian hierarchical model…