4 citations · 8 across the 3 of their papers we have counts for
3 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…
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 Nonparametric Model for Predicting Pregnancy Outcomes Using Longitudinal Profiles
Jeremy T. Gaskins, Claudio Fuentes, Rolando De la Cruz
Across several medical fields, developing an approach for disease classification is an important challenge. The usual procedure is to fit a model for the longitudinal response in t…