research
∙
11/24/2022
A New Spatio-Temporal Model Exploiting Hamiltonian Equations
The solutions of Hamiltonian equations are known to describe the underly...
share
research
∙
08/03/2022
Additive Security Games: Structure and Optimization
In this work, we provide a structural characterization of the possible N...
research
∙
06/18/2022
IID Sampling from Posterior Dirichlet Process Mixtures
The influence of Dirichlet process mixture is ubiquitous in the Bayesian...
research
∙
12/15/2021
IID Sampling from Doubly Intractable Distributions
Intractable posterior distributions of parameters with intractable norma...
research
∙
09/26/2021
IID Sampling from Intractable Multimodal and Variable-Dimensional Distributions
Bhattacharya (2021b) has introduced a novel methodology for generating i...
research
∙
07/13/2021
IID Sampling from Intractable Distributions
We propose a novel methodology for drawing iid realizations from any tar...
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...
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...
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...
research
∙
10/26/2020
Function Optimization with Posterior Gaussian Derivative Process
In this article, we propose and develop a novel Bayesian algorithm for o...
research
∙
09/14/2020
Bayesian Appraisal of Random Series Convergence with Application to Climate Change
Roy and Bhattacharya (2020) provided Bayesian characterization of infini...
research
∙
08/25/2020
How Ominous is the Future Global Warming Premonition?
Global warming, the phenomenon of increasing global average temperature ...
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...
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...
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...
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...
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...
research
∙
05/01/2020
Posterior Consistency of Bayesian Inverse Regression and Inverse Reference Distributions
We consider Bayesian inference in inverse regression problems where the ...
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...
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...
research
∙
04/30/2020
Bayesian Characterizations of Properties of Stochastic Processes with Applications
In this article, we primarily propose a novel Bayesian characterization ...
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...
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...
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...
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...
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...
research
∙
01/03/2014
