activity
20182026
most citedGibbs posterior inference on multivariate quantiles

17 citations · 20 across the 6 of their papers we have counts for

collaborators

8 papers

stat.ME2026

A Subjective Bayesian Approach to Address Unchecked Assumptions in a Causal Analysis

Jaiyool Kim, Indrabati Bhattacharya, Jonathan R. Bradley

Causal analyses using observational data rely on identifying assumptions that cannot be verified from the observed data alone. When such unchecked assumptions fail, effect estimate…

stat.AP2026

Socioeconomic Drivers of Physical Morbidity Across U.S. Counties: A Spatial Causal Inference Approach

Ranadeep Daw, Hunter N. Evans, Indrabati Bhattacharya

Identifying the causal effects of socioeconomic determinants on population health is of many great interests - from statistical methodology development to public health practitione…

stat.ME2021

A non-parametric Bayesian approach for adjusting partial compliance in sequential decision making

Indrabati Bhattacharya, Brent A. Johnson, William Artman +4

Existing methods in estimating the mean outcome under a given dynamic treatment regime rely on intention-to-treat analyses which estimate the effect of following a certain dynamic…

stat.ME2020

Bayesian Multivariate Quantile Regression Using Dependent Dirichlet Process Prior

Indrabati Bhattacharya, Subhashis Ghosal

In this article, we consider a non-parametric Bayesian approach to multivariate quantile regression. The collection of related conditional distributions of a response vector Y give…

math.ST2020

Bayesian nonparametric tests for multivariate locations

Indrabati Bhattacharya, Subhashis Ghosal

In this paper, we propose novel, fully Bayesian non-parametric tests for one-sample and two-sample multivariate location problems. We model the underlying distribution using a Diri…

math.ST2020★ 17 cited

Gibbs posterior inference on multivariate quantiles

Indrabati Bhattacharya, Ryan Martin

Bayesian and other likelihood-based methods require specification of a statistical model and may not be fully satisfactory for inference on quantities, such as quantiles, that are…

math.ST2019★ 2 cited

Bayesian Inference on Multivariate Medians and Quantiles

Indrabati Bhattacharya, Subhashis Ghosal

In this paper, we consider Bayesian inference on a class of multivariate median and the multivariate quantile functionals of a joint distribution using a Dirichlet process prior. S…

stat.AP2018★ 1 cited

A Statistical Exploration of Duckworth-Lewis Method Using Bayesian Inference

Indrabati Bhattacharya, Rahul Ghosal, Sujit Ghosh

Duckworth-Lewis (D/L) method is the incumbent rain rule used to decide the result of a limited overs cricket match should it not be able to reach its natural conclusion. Duckworth…