Sourabh Bhattacharya

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Featured Co-authors

Rama Chellappa
129 publications
Soumik Sarkar
71 publications
Tamer Basar
67 publications
Richa Singh
53 publications
Garrett Warnell
39 publications
Baskar Ganapathysubramanian
37 publications
Sayantan Banerjee
12 publications
Sabyasachi Mukhopadhyay
9 publications
Asheesh K. Singh
8 publications
Arti Singh
8 publications
Debashis Chatterjee
7 publications

research

∙ 11/24/2022

A New Spatio-Temporal Model Exploiting Hamiltonian Equations

The solutions of Hamiltonian equations are known to describe the underly...

0 Satyaki Mazumder, et al. ∙

research

∙ 08/03/2022

Additive Security Games: Structure and Optimization

In this work, we provide a structural characterization of the possible N...

0 Joe Clanin, et al. ∙

research

∙ 06/18/2022

IID Sampling from Posterior Dirichlet Process Mixtures

The influence of Dirichlet process mixture is ubiquitous in the Bayesian...

0 Sourabh Bhattacharya, et al. ∙

research

∙ 12/15/2021

IID Sampling from Doubly Intractable Distributions

Intractable posterior distributions of parameters with intractable norma...

0 Sourabh Bhattacharya, et al. ∙

research

∙ 09/26/2021

IID Sampling from Intractable Multimodal and Variable-Dimensional Distributions

Bhattacharya (2021b) has introduced a novel methodology for generating i...

0 Sourabh Bhattacharya, et al. ∙

research

∙ 07/13/2021

IID Sampling from Intractable Distributions

We propose a novel methodology for drawing iid realizations from any tar...

0 Sourabh Bhattacharya, et al. ∙

research

∙ 05/18/2021

Bayesian Levy-Dynamic Spatio-Temporal Process: Towards Big Data Analysis

In this era of big data, all scientific disciplines are evolving fast to...

0 Sourabh Bhattacharya, et al. ∙

research

∙ 11/13/2020

Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications

Reliable seed yield estimation is an indispensable step in plant breedin...

1 Luis G Riera, et al. ∙

research

∙ 11/03/2020

Planning for Aerial Robot Teams for Wide-Area Biometric and Phenotypic Data Collection

This work presents an efficient and implementable solution to the proble...

0 Tianshuang Gao, et al. ∙

research

∙ 10/26/2020

Function Optimization with Posterior Gaussian Derivative Process

In this article, we propose and develop a novel Bayesian algorithm for o...

0 Sucharita Roy, et al. ∙

research

∙ 09/14/2020

Bayesian Appraisal of Random Series Convergence with Application to Climate Change

Roy and Bhattacharya (2020) provided Bayesian characterization of infini...

0 Sucharita Roy, et al. ∙

research

∙ 08/25/2020

How Ominous is the Future Global Warming Premonition?

Global warming, the phenomenon of increasing global average temperature ...

0 Debashis Chatterjee, et al. ∙

research

∙ 07/28/2020

On the Characterization of Saddle Point Equilibrium for Security Games with Additive Utility

In this work, we investigate a security game between an attacker and a d...

0 HAmid Emadi, et al. ∙

research

∙ 07/15/2020

A Bayesian Multiple Testing Paradigm for Model Selection in Inverse Regression Problems

In this article, we propose a novel Bayesian multiple testing formulatio...

0 Debashis Chatterjee, et al. ∙

research

∙ 06/10/2020

Convergence of Pseudo-Bayes Factors in Forward and Inverse Regression Problems

In the Bayesian literature on model comparison, Bayes factors play the l...

0 Debashis Chatterjee, et al. ∙

research

∙ 05/19/2020

Increasing Domain Infill Asymptotics for Stochastic Differential Equations Driven by Fractional Brownian Motion

Although statistical inference in stochastic differential equations (SDE...

0 Trisha Maitra, et al. ∙

research

∙ 05/15/2020

Hierarchical Bayesian state-space modeling of age- and sex-structured wildlife population dynamics

Biodiversity is declining at alarming rates worldwide, including for lar...

0 Sabyasachi Mukhopadhyay, et al. ∙

research

∙ 05/01/2020

Posterior Consistency of Bayesian Inverse Regression and Inverse Reference Distributions

We consider Bayesian inference in inverse regression problems where the ...

0 Debashis Chatterjee, et al. ∙

research

∙ 05/01/2020

Posterior Convergence of Nonparametric Binary and Poisson Regression Under Possible Misspecifications

In this article, we investigate posterior convergence of nonparametric b...

0 Debashis Chatterjee, et al. ∙

research

∙ 04/30/2020

High-dimensional Asymptotic Theory of Bayesian Multiple Testing Procedures Under General Dependent Setup and Possible Misspecification

In this article, we investigate the asymptotic properties of Bayesian mu...

0 Noirrit Kiran Chandra, et al. ∙

research

∙ 04/30/2020

Bayesian Characterizations of Properties of Stochastic Processes with Applications

In this article, we primarily propose a novel Bayesian characterization ...

0 Sucharita Roy, et al. ∙

research

∙ 10/24/2018

Posterior Convergence of Gaussian and General Stochastic Process Regression Under Possible Misspecifications

In this article, we investigate posterior convergence in nonparametric r...

0 Debashis Chatterjee, et al. ∙

research

∙ 10/23/2018

Asymptotic Theory of Bayes Factor for Nonparametric Model and Variable Selection in the Gaussian Process Framework

In this paper we consider the Bayes factor approach to general model and...

0 Minerva Mukhopadhyay, et al. ∙

research

∙ 07/22/2018

Adaptive Target Tracking with a Mixed Team of Static and Mobile Guards: Deployment and Activation Strategies

This work explores a variation of the art gallery problem in which a tea...

0 Guillermo J. Laguna, et al. ∙

research

∙ 07/22/2018

Tracking Mobile Intruders in an Art Gallery: Guard Deployment Strategies, Fundamental Limitations, and Performance Guarantees

This paper addresses the problem of tracking mobile intruders in a polyg...

0 Guillermo J. Laguna, et al. ∙

research

∙ 11/10/2017

A Novel Bayesian Multiple Testing Approach to Deregulated miRNA Discovery Harnessing Positional Clustering

MicroRNAs (miRNAs) are endogenous, small non-coding RNAs that function a...

0 Noirrit Kiran Chandra, et al. ∙

research

∙ 01/03/2014

Adaptive-Rate Compressive Sensing Using Side Information

We provide two novel adaptive-rate compressive sensing (CS) strategies f...

0 Garrett Warnell, et al. ∙

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