104 citations · 104 across the 2 of their papers we have counts for
2 papers
stat.ME2008★ 104 cited
Gibbs posterior for variable selection in high-dimensional classification and data mining
Wenxin Jiang, Martin A. Tanner
In the popular approach of "Bayesian variable selection" (BVS), one uses prior and posterior distributions to select a subset of candidate variables to enter the model. A completel…
stat.ME2007
Locally Adaptive Nonparametric Binary Regression
Sally Wood, Robert Kohn, Remy Cottet +2
A nonparametric and locally adaptive Bayesian estimator is proposed for estimating a binary regression. Flexibility is obtained by modeling the binary regression as a mixture of pr…