26 citations · 27 across the 2 of their papers we have counts for
2 papers
stat.ME2014★ 26 cited
Bayesian sparse graphical models for classification with application to protein expression data
Veerabhadran Baladandayuthapani, Rajesh Talluri, Yuan Ji +5
Reverse-phase protein array (RPPA) analysis is a powerful, relatively new platform that allows for high-throughput, quantitative analysis of protein networks. One of the challenges…
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…