48 citations · 126 across the 51 of their papers we have counts for
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Asymptotic Theory of Dependent Bayesian Multiple Testing Procedures Under Possible Model Misspecification
Noirrit K. Chandra, Sourabh Bhattacharya
We study asymptotic properties of Bayesian multiple testing procedures and provide sufficient conditions for strong consistency under general dependence structure. We also consider…
On Classical and Bayesian Asymptotics in Stochastic Differential Equations with Random Effects having Mixture Normal Distributions
Trisha Maitra, Sourabh Bhattacharya
Delattre et al. (2013) considered a system of stochastic differential equations (SDEs) in a random effects setup. Under the independent and identical (iid) situation, and assuming…
On Asymptotic Inference in Stochastic Differential Equations with Time-Varying Covariates
Trisha Maitra, Sourabh Bhattacharya
In this article, we introduce a system of stochastic differential equations (SDEs) consisting of time-dependent covariates and consider both fixed and random effects set-ups. We al…
Bayes meet Riemann- Bayesian Characterization of Infinite Series with Application to Riemann Hypothesis
Sucharita Roy, Sourabh Bhattacharya
In the classical literature on infinite series there are various tests to determine if a given infinite series converges, diverges, or oscillates. But unfortunately, for very many…