Association between immune dysfunction and COVID-19 breakthrough infection after SARS-CoV-2 vaccination in the US J Sun, Q Zheng, V Madhira, AL Olex, AJ Anzalone, A Vinson, JA Singh, ...
JAMA internal medicine 182 (2), 153-162, 2022
208 2022 Subsampling bootstrap of count features of networks S Bhattacharyya, PJ Bickel
80 2015 Hierarchical community detection by recursive partitioning T Li, L Lei, S Bhattacharyya, K Van den Berge, P Sarkar, PJ Bickel, ...
Journal of the American Statistical Association 117 (538), 951-968, 2022
72 2022 Spectral clustering for multiple sparse networks: I S Bhattacharyya, S Chatterjee
arXiv preprint arXiv:1805.10594, 2018
53 2018 Community detection in networks using graph distance S Bhattacharyya, PJ Bickel
arXiv preprint arXiv:1401.3915, 2014
38 2014 Union of intersections (uoi) for interpretable data driven discovery and prediction K Bouchard, A Bujan, F Roosta, S Ubaru, M Prabhat, A Snijders, JH Mao, ...
Advances in Neural Information Processing Systems 30, 2017
23 2017 General community detection with optimal recovery conditions for multi-relational sparse networks with dependent layers S Bhattacharyya, S Chatterjee
arXiv preprint arXiv:2004.03480, 2020
18 2020 Clinical, social, and policy factors in COVID-19 cases and deaths: methodological considerations for feature selection and modeling in county-level analyses C Madlock-Brown, K Wilkens, N Weiskopf, N Cesare, S Bhattacharyya, ...
BMC Public Health 22 (1), 747, 2022
16 2022 Adaptive estimation in elliptical distributions with extensions to high dimensions S Bhattacharyya, PJ Bickel
Preprint, 2014
15 2014 Prediction of spread and regional development of hop powdery mildew: A network analysis DH Gent, S Bhattacharyya, T Ruiz
Phytopathology 109 (8), 1392-1403, 2019
13 2019 Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences S Bhattacharyya, S Chatterjee, SS Mukherjee
arXiv preprint arXiv:2009.02112, 2020
8 2020 Consistent Recovery of Communities from Sparse Multi-relational Networks: A Scalable Algorithm with Optimal Recovery Conditions S Bhattacharyya, S Chatterjee
Complex Networks XI: Proceedings of the 11th Conference on Complex Networks …, 2020
8 2020 Spectral clustering and block models: A review and a new algorithm S Bhattacharyya, PJ Bickel
Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014, 67-90, 2016
8 2016 Spectral clustering for dynamic stochastic block model S Bhattacharyya, S Chatterjee
Working Paper, 2017
7 2017 Sparse, low-bias, and scalable estimation of high dimensional vector autoregressive models via union of intersections T Ruiz, M Balasubramanian, KE Bouchard, S Bhattacharyya
arXiv preprint arXiv:1908.11464, 2019
5 2019 Optimizing the Union of Intersections LASSO ( ) and Vector Autoregressive ( ) Algorithms for Improved Statistical Estimation at Scale M Balasubramanian, T Ruiz, B Cook, S Bhattacharyya, A Shrivastava, ...
arXiv preprint arXiv:1808.06992, 2018
4 2018 World War II and the Consumption Pattern of the Calcutta Middleclass S Bhattacharyya
Sankhyā: The Indian Journal of Statistics, 197-200, 1947
4 1947 Thiol reductive stress activates the hypoxia response pathway Ravi, A Kumar, S Bhattacharyya, J Singh
The EMBO Journal 42 (22), e114093, 2023
3 2023 Sparse and low-bias estimation of high dimensional vector autoregressive models T Ruiz, S Bhattacharyya, M Balasubramanian, K Bouchard
Learning for Dynamics and Control, 55-64, 2020
3 2020 Scaling of union of intersections for inference of granger causal networks from observational data M Balasubramanian, TD Ruiz, B Cook, M Prabhat, S Bhattacharyya, ...
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020
3 2020