Publications

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Neural Autoregressive Flows based Variational Bayes Model Averaging

Published in The American Statistician, 2026

Jiefu Zhou, Shrijita Bhattacharya (2026) "Neural Autoregressive Flows based Variational Bayes Model Averaging " The American Statistician. accepted.
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Variational inference aided variable selection for spatially structured high dimensional covariates

Published in Journal of Computational and Graphical Statistics, 2026

Siddhartha Nandy, Minwoo Kim, Shrijita Bhattacharya, Tapabrata Maiti (2026) "Variational inference aided variable selection for spatially structured high dimensional covariates" Journal of Computational and Graphical Statistics 35(1):482-493.
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Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks

Published in IEEE Transactions on Neural Networks and Learning Systems, 2024

Sanket Jantre, Shrijita Bhattacharya, Tapabrata Maiti (2024) "Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks" IEEE Transactions on Neural Networks and Learning Systems 36(6):11176-11188.
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Comprehensive study of variational Bayes classification for dense deep neural networks

Published in Statistics and Computing, 2024

Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti (2024) "Comprehensive study of variational Bayes classification for dense deep neural networks" Statistics and Computing 34(1):17.
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Statistically valid variational Bayes algorithm for Ising model parameter estimation

Published in Journal of Computational and Graphical Statistics, 2024

Minwoo Kim, Shrijita Bhattacharya, Tapabrata Maiti (2024) "Statistically valid variational Bayes algorithm for Ising model parameter estimation" Journal of Computational and Graphical Statistics 33(1):75-84.
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Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details

Published in Neural Networks, 2023

Sanket Jantre, Shrijita Bhattacharya, Tapabrata Maiti (2023) " Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details " Neural Networks . 167:309-330.
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Outlier detection based on extreme value theory and applications

Published in Scandinavian Journal of Statistics, 2023

Shrijita Bhattacharya, Francois Kamper, Jan Beirlant (2023) " Outlier detection based on extreme value theory and applications " Scandinavian Journal of Statistics . 50(3):1466-1502.
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Normalizing Flows Aided Variational Inference: A Useful Alternative to MCMC?

Published in Notices of the American Mathematical Society, 2023

Sumegha Premchandar, Shrijita Bhattacharya, Tapabrata Maiti (2023) " Normalizing Flows Aided Variational Inference: A Useful Alternative to MCMC? " Notices of the American Mathematical Society . 70(07).
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Black box variational Bayesian model averaging

Published in The American Statistician, 2023

Vojtech Kejzlar, Shrijita Bhattacharya, Mookyong Son, Tapabrata Maiti (2023) " Black box variational Bayesian model averaging " The American Statistician . 77(1):85-96.
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Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space

Published in IEEE Transactions on Neural Networks and Learning Systems, 2022

Zihuan Liu, Shrijita Bhattacharya, Tapabrata Maiti (2022) " Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space " IEEE Transactions on Neural Networks and Learning Systems . 35(1):1379-1385.
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Quantile regression neural networks: a Bayesian approach

Published in Journal of Statistical Theory and Practice, 2021

Sanket Jantre, Shrijita Bhattacharya, Tapabrata Maiti (2021) " Quantile regression neural networks: a Bayesian approach " Journal of Statistical Theory and Practice . 15(3):68.
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A fast and calibrated computer model emulator: an empirical Bayes approach

Published in Statistics and Computing, 2021

Vojtech Kejzlar, Mookyong Son, Shrijita Bhattacharya, Tapabrata Maiti (2021) "A fast and calibrated computer model emulator: an empirical Bayes approach" Statistics and Computing 31(4):49.
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Statistical foundation of Variational Bayes neural networks

Published in Neural Networks, 2021

Shrijita Bhattacharya, Tapabrata Maiti (2023) " Statistical foundation of Variational Bayes neural networks " Neural Networks. 167:309-330.
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Data-adaptive trimming of the Hill estimator and detection of outliers in the extremes of heavy-tailed data

Published in Electronic Journal of Statistics, 2019

Shrijita Bhattacharya, Michael Kallitsis, Stilian Stoev (2019) " Data-adaptive trimming of the Hill estimator and detection of outliers in the extremes of heavy-tailed data " Electronic Journal of Statistics. 13(1):1872-1925.
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Detection of false data injection attacks in smart grids based on forecasts

Published in 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2018

Michael G Kallitsis, Shrijita Bhattacharya, George Michailidis (2018) " Detection of false data injection attacks in smart grids based on forecasts " 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). 1-7.
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Inference on the endpoint of human lifespan and its inherent statistical difficulty: Discussion on the paper by Holger Rootzén and Dmitrii Zholud

Published in Extremes, 2018

Stilian Stoev, Shrijita Bhattacharya (2018) " Inference on the endpoint of human lifespan and its inherent statistical difficulty: Discussion on the paper by Holger Rootzén and Dmitrii Zholud " Extremes. 21(3):391-404.
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Adaptive statistical detection of false data injection attacks in smart grids

Published in 2016 IEEE global conference on signal and information processing (GlobalSIP), 2016

Michael G Kallitsis, Shrijita Bhattacharya, Stilian Stoev, George Michailidis (2018) " Adaptive statistical detection of false data injection attacks in smart grids " 2016 IEEE global conference on signal and information processing (GlobalSIP). 826-830.
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AMON: An open source architecture for online monitoring, statistical analysis, and forensics of multi-gigabit streams

Published in IEEE Journal on Selected Areas in Communications (JSAC), 2016

Michael Kallitsis, Stilian Stoev, Shrijita Bhattacharya, and George Michailidis (2016) " AMON: An open source architecture for online monitoring, statistical analysis, and forensics of multi-gigabit streams " IEEE Journal on Selected Areas in Communications. 34(6):1834-1848.
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Analysis of hybrid censored competing risks data

Published in Statistics, 2014

Shrijita Bhattacharya, Biswabrata Pradhan, Debasis Kundu (2014) " Analysis of hybrid censored competing risks data " Statistics. 48(5):1138-1154.
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