47 citations · 175 across the 14 of their papers we have counts for
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stat.ME2019★ 6 cited
Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance
Ray Bai, Mary R. Boland, Yong Chen
Nonparametric varying coefficient (NVC) models are useful for modeling time-varying effects on responses that are measured repeatedly for the same subjects. When the number of cova…
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…