| AMON: An open source architecture for online monitoring, statistical analysis, and forensics of multi-gigabit streams M Kallitsis, SA Stoev, S Bhattacharya, G Michailidis IEEE Journal on Selected Areas in Communications 34 (6), 1834-1848, 2016 | 35 | 2016 |
| Analysis of hybrid censored competing risks data S Bhattacharya, B Pradhan, D Kundu Statistics 48 (5), 1138-1154, 2014 | 27 | 2014 |
| Adaptive statistical detection of false data injection attacks in smart grids MG Kallitsis, S Bhattacharya, S Stoev, G Michailidis 2016 IEEE global conference on signal and information processing (GlobalSIP …, 2016 | 26 | 2016 |
| Data-adaptive trimming of the Hill estimator and detection of outliers in the extremes of heavy-tailed data S Bhattacharya, M Kallitsis, S Stoev Electronic Journal of Statistics 13 (1), 1872-1925, 2019 | 19* | 2019 |
| Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details S Jantre, S Bhattacharya, T Maiti Neural Networks 167, 309-330, 2023 | 17 | 2023 |
| Quantile regression neural networks: a bayesian approach SR Jantre, S Bhattacharya, T Maiti Journal of Statistical Theory and Practice 15 (3), 68, 2021 | 15 | 2021 |
| Statistical foundation of Variational Bayes neural networks S Bhattacharya, T Maiti Neural Networks 137, 151-173, 2021 | 14 | 2021 |
| Comprehensive study of variational Bayes classification for dense deep neural networks S Bhattacharya, Z Liu, T Maiti Statistics and Computing 34 (1), 17, 2024 | 9* | 2024 |
| Detection of false data injection attacks in smart grids based on forecasts MG Kallitsis, S Bhattacharya, G Michailidis 2018 IEEE International Conference on Communications, Control, and Computing …, 2018 | 9 | 2018 |
| Outlier detection based on extreme value theory and applications S Bhattacharya, F Kamper, J Beirlant Scandinavian Journal of Statistics 50 (3), 1466-1502, 2023 | 6* | 2023 |
| Black Box Variational Bayesian Model Averaging V Kejzlar, S Bhattacharya, M Son, T Maiti The American Statistician 77 (1), 85-96, 2023 | 6 | 2023 |
| Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation M Kim, S Bhattacharya, T Maiti Journal of Computational and Graphical Statistics 33 (1), 75-84, 2024 | 5* | 2024 |
| Sequential bayesian neural subnetwork ensembles S Jantre, S Bhattacharya, NM Urban, BJ Yoon, T Maiti, P Balaprakash, ... arXiv preprint arXiv:2206.00794, 2022 | 5 | 2022 |
| Spike-and-Slab Shrinkage Priors for Structurally Sparse Bayesian Neural Networks S Jantre, S Bhattacharya, T Maiti IEEE Transactions on Neural Networks and Learning Systems, 2024 | 4* | 2024 |
| A fast and calibrated computer model emulator: an empirical Bayes approach V Kejzlar, M Son, S Bhattacharya, T Maiti Statistics and Computing 31 (4), 49, 2021 | 4 | 2021 |
| Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space Z Liu, S Bhattacharya, T Maiti IEEE Transactions on Neural Networks and Learning Systems 35 (1), 1379-1385, 2022 | 2 | 2022 |
| Inference on the endpoint of human lifespan and its inherent statistical difficulty: Discussion on the paper by Holger Rootzén and Dmitrii Zholud SA Stoev, S Bhattacharya Extremes 21 (3), 391-404, 2018 | 1 | 2018 |
| Parameter calibration for beta-decay calculations T Li, M Son, V Kejzlar, W Nazarewicz, T Maiti, S Bhattacharya, S Giuliani Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Outlier Identification in Spatio-Temporal Processes S Bhattacharya | | 2018 |
