64 citations · 120 across the 29 of their papers we have counts for
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stat.ME2013★ 1 cited
Bayesian sparse graphical models and their mixtures using lasso selection priors
Rajesh Talluri, Veerabhadran Baladandayuthapani, Bani K. Mallick
We propose Bayesian methods for Gaussian graphical models that lead to sparse and adaptively shrunk estimators of the precision (inverse covariance) matrix. Our methods are based o…
stat.ME2013★ 5 cited
Bayes Regularized Graphical Model Estimation in High Dimensions
Suprateek Kundu, Veera Baladandayuthapani, Bani K. Mallick
There has been an intense development of Bayes graphical model estimation approaches over the past decade - however, most of the existing methods are restricted to moderate dimensi…