68 citations · 353 across the 57 of their papers we have counts for
5 papers · 1 filter
Bayesian sparse multiple regression for simultaneous rank reduction and variable selection
Antik Chakraborty, Anirban Bhattacharya, Bani K. Mallick
We develop a Bayesian methodology aimed at simultaneously estimating low-rank and row-sparse matrices in a high-dimensional multiple-response linear regression model. We consider a…
Bayesian fractional posteriors
Anirban Bhattacharya, Debdeep Pati, Yun Yang
We consider the fractional posterior distribution that is obtained by updating a prior distribution via Bayes theorem with a fractional likelihood function, a usual likelihood func…
Partitioned Cross-Validation for Divide-and-Conquer Density Estimation
Anirban Bhattacharya, Jeffrey D. Hart
We present an efficient method to estimate cross-validation bandwidth parameters for kernel density estimation in very large datasets where ordinary cross-validation is rendered hi…
Sub-optimality of some continuous shrinkage priors
Anirban Bhattacharya, David B. Dunson, Debdeep Pati +1
Two-component mixture priors provide a traditional way to induce sparsity in high-dimensional Bayes models. However, several aspects of such a prior, including computational comple…
Probabilistic community detection with unknown number of communities
Junxian Geng, Anirban Bhattacharya, Debdeep Pati
A fundamental problem in network analysis is clustering the nodes into groups which share a similar connectivity pattern. Existing algorithms for community detection assume the kno…