104 citations · 152 across the 3 of their papers we have counts for
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stat.ME2011★ 48 cited
From EM to Data Augmentation: The Emergence of MCMC Bayesian Computation in the 1980s
Martin A. Tanner, Wing H. Wong
It was known from Metropolis et al. [J. Chem. Phys. 21 (1953) 1087--1092] that one can sample from a distribution by performing Monte Carlo simulation from a Markov chain whose equ…
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…