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stat.ME2019
Averaging causal estimators in high dimensions
Joseph Antonelli, Matthew Cefalu
There has been increasing interest in recent years in the development of approaches to estimate causal effects when the number of potential confounders is prohibitively large. This…
stat.ME2019★ 42 cited
Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models
Ray Bai, Gemma E. Moran, Joseph Antonelli +2
We introduce the spike-and-slab group lasso (SSGL) for Bayesian estimation and variable selection in linear regression with grouped variables. We further extend the SSGL to sparse…