Antik Chakraborty

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2015Rising activity

Bayesian Methods and Mixture Models Statistical Methods and Inference Statistical Methods and Bayesian Inference Markov Chains and Monte Carlo Methods Sparse and Compressive Sensing Techniques

Publications

Citations

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2015

Research summary

AI-generated

Antik Chakraborty works on Bayesian statistics, developing methods for analyzing complex and high-dimensional data using probabilistic models. Their research spans topics like clustering, calibration of complex simulation models, sparse regression, and modeling of binary or event-based data, with applications ranging from astrophysics to mortality forecasting and industrial process monitoring. Much of the work involves creating new computational and theoretical tools within the Bayesian statistical framework (an approach that updates probability estimates as more data becomes available).

Bayesian statistical modelingHigh-dimensional and sparse data analysisComputational statistics (Markov Chain Monte Carlo methods)Applied statistics for scientific and industrial dataClustering and mixture models

Publication output has been fairly steady but modest over the last decade, with a peak in 2019 and a slight uptick again in 2023-2025 after a dip around 2022.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence

Publications per year over the last 10 years — averaging 1.8/year recently

Recent publications

A Bayesian Clustering Approach to Multi-Population Mortality Modeling and Forecasting
SSRN Electronic Journal · 2025
Orthogonal Calibration via Posterior Projections with Applications to the Schwarzschild Model
Technometrics · 2025
Orthogonal calibration via posterior projections with applications to the Schwarzschild model
arXiv (Cornell University) · 2024
Bayesian Inference on High-Dimensional Multivariate Binary Responses
Journal of the American Statistical Association · 2023
Bayesian Inference on High-Dimensional Multivariate Binary Responses
Figshare · 2023
Bayesian inference on high-dimensional multivariate binary responses
Figshare · 2023
Bayesian semiparametric long memory models for discretized event data
The Annals of Applied Statistics · 2022
Bayesian inference on high-dimensional multivariate binary data
arXiv (Cornell University) · 2021
Bayesian inference on high-dimensional multivariate binary responses
arXiv (Cornell University) · 2021
Nearest Neighbor Dirichlet Process
arXiv (Cornell University) · 2020
Bayesian semiparametric long memory models for discretized event data
arXiv (Cornell University) · 2020
Nearest Neighbor Dirichlet Mixtures
arXiv (Cornell University) · 2020
Bayesian sparse multiple regression for simultaneous rank reduction and variable selection
Biometrika · 2019
Implementation of the Horseshoe Prior [R package horseshoe version 0.2.0]
2019
Pan-Cancer Variable Selection [R package PanCanVarSel version 0.0.3]
2019

Publishes in

arXiv (Cornell University)×9
Figshare×3
Journal of the American Statistical Association×2
Biometrika×2
Industrial & Engineering Chemistry Research×1

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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