3 papers
stat.ME2021
On Posterior consistency of Bayesian Changepoint models
Nilabja Guha, Jyotishka Datta
While there have been a lot of recent developments in the context of Bayesian model selection and variable selection for high dimensional linear models, there is not much work in t…
stat.ME2020
Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures
Yabo Niu, Nilabja Guha, Debkumar De +3
Gaussian graphical models (GGMs) are well-established tools for probabilistic exploration of dependence structures using precision matrices. We develop a Bayesian method to incorpo…
stat.ME2017
A Conditional Density Estimation Partition Model Using Logistic Gaussian Processes
Richard D. Payne, Nilabja Guha, Yu Ding +1
Conditional density estimation (density regression) estimates the distribution of a response variable y conditional on covariates x. Utilizing a partition model framework, a condit…