54 citations · 170 across the 45 of their papers we have counts for
3 papers · 2 filters
Bayesian Low Rank and Sparse Covariance Matrix Decomposition
Lin Zhang, Abhra Sarkar, Bani K. Mallick
We consider the problem of estimating high-dimensional covariance matrices of a particular structure, which is a summation of low rank and sparse matrices. This covariance structur…
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…
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…