3 citations · 6 across the 5 of their papers we have counts for
5 papers
Fast Bayesian High-Dimensional Gaussian Graphical Model Estimation
Sagnik Bhadury, Riten Mitra, Jeremy T. Gaskins
Graphical models describe associations between variables through the notion of conditional independence. Gaussian graphical models are a widely used class of such models where the…
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations
Arnab Ganguly, Riten Mitra, Jinpu Zhou
The paper has two major themes. The first part of the paper establishes certain general results for infinite-dimensional optimization problems on Hilbert spaces. These results cove…
A Bayesian Approach for Analyzing Data on the Stiefel Manifold
Subhadip Pal, Subhajit Sengupta, Riten Mitra +1
Directional data emerges in a wide array of applications, ranging from atmospheric sciences to medical imaging. Modeling such data, however, poses unique challenges by virtue of th…
Bayesian Variable Selection for Multi-Outcome Models Through Shared Shrinkage
Debamita Kundu, Riten Mitra, Jeremy T. Gaskins
Variable selection over a potentially large set of covariates in a linear model is quite popular. In the Bayesian context, common prior choices can lead to a posterior expectation…
A Bayesian Mixture Model for Clustering on the Stiefel Manifold
Subhajit Sengupta, Subhadip Pal, Riten Mitra +3
Analysis of a Bayesian mixture model for the Matrix Langevin distribution on the Stiefel manifold is presented. The model exploits a particular parametrization of the Matrix Langev…