Debdeep Pati

Professor, Department of Statistics, Texas A&M University

(September 1, 2022 to present)

Director of the PhD program, Department of Statistics, Texas A&M University

(September 1, 2021 to present)

Research Interests

Bayes theory and methods in high dimensions; Approximate Bayesian methods; high dimensional network analysis, Bayesian graphical models, efficient Bayesian computation, hierarchical modeling of complex shapes, point pattern data modeling, real-time tracking algorithms.

Updates

(July 2023) Article on exact tests for block models (part of Mathematical Research Communities collaboration [link]) accepted at JRSS-B.
(June 2023) Article on covariate-assisted graphical models accepted at JASA-T&M.
(June 2023) Bayes Comp 2027 happening at TAMU [link]!
(June 2023) Talk at Centre International de Rencontres Mathématiques, Luminy, France on adaptive finite element type decomposition of Gaussian random fields.
(June 2023) Talk at IISA 2023, Golden, CO on adaptive finite element type decomposition of Gaussian random fields.
(May 2023) A proposal on fast statistical learning of anomalous behavior on streaming data funded by National Technology & Engineering Solutions of Sandia.
(May 2023) Article on Gaussian processes with error in variables accepted at JMLR.
(April 2023) Virtual talk at Virginia Commonwealth University seminar series on robust probabilistic inference via a constrained transport metric.
(March 2023) Virtual talk at BayesComp 2023 on robust probabilistic inference via a constrained transport metric.
(January 2023) Article on monotone single index model for missing-at-random longitudinal proportion data accepted at Journal of Applied Stat.
(December 2022) Article on Bayesian hierarchical modeling of covariance valued data accepted at STAT.
(December 2022) Virtual talk at IISA 2022 on robust probabilistic inference via a constrained transport metric.
(September 2022) Article on mass-shifting property of truncated multivariate Gaussian distributions accepted at JASA-T&M.
(September 2022) A new NIH R21 (as a co-I, with Dipankar Bandyopadhyay as PI) proposal on developing risk index to evaluate the elderly with comorbidity for oral health event times is funded.
(August 2022) A new NIH R01 (as a co-PI/MPI, with Dipankar Bandyopadhyay as PI) proposal to understand gender influences on periodontal disease and diabetes is funded.
(July 2022) Co-organizing an IMSI workshop on the usage of algebraic methods in Bayesian statistics [link].