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Sharmistha Guha is an Assistant Professor at Texas A&M University in the College of Arts and Sciences. Dr. Guha's research primarily focuses on Bayesian methods applied to various statistical problems. Key interests include Bayesian High Dimensional Regression, Bayesian Object-Oriented Regression, and Bayesian Causal Inference. She also investigates techniques in Randomized Trials and Probabilistic Record Linkage, as well as Bayesian Nonparametric Mixture Models. Through her work, Dr. Guha aims to advance the application of Bayesian statistics in resolving complex data challenges across diverse fields.
Department: Department of Communication and Journalism. Ph.D. program only currently admitting. GRE is test-optional.