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Sharmodeep Bhattacharyya
Sharmodeep Bhattacharyya
Assistant Professor of Statistics, Oregon State University
Preverjeni e-poštni naslov na science.oregonstate.edu - Domača stran
Naslov
Navedeno
Navedeno
Leto
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
2752022
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
942022
Subsampling bootstrap of count features of networks
S Bhattacharyya, PJ Bickel
942015
Spectral clustering for multiple sparse networks: I
S Bhattacharyya, S Chatterjee
arXiv preprint arXiv:1805.10594, 2018
592018
Community detection in networks using graph distance
S Bhattacharyya, PJ Bickel
arXiv preprint arXiv:1401.3915, 2014
402014
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
252017
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
212022
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
192020
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
182019
Adaptive estimation in elliptical distributions with extensions to high dimensions
S Bhattacharyya, PJ Bickel
Preprint, 2014
182014
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
102020
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
82016
The functional biogeography of eDNA metacommunities in the post-fire landscape of the Angeles national forest
S Senn, S Bhattacharyya, G Presley, AE Taylor, B Nash, RA Enke, ...
Microorganisms 10 (6), 1218, 2022
72022
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
72020
Spectral clustering for dynamic stochastic block model
S Bhattacharyya, S Chatterjee
Working Paper, 2017
72017
On the estimation of the number of communities for sparse networks
N Hwang, J Xu, S Chatterjee, S Bhattacharyya
Journal of the American Statistical Association 119 (547), 1895-1910, 2024
62024
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
52019
A general framework for spatio-temporal modeling of epidemics with multiple epicenters: application to an aerially dispersed plant pathogen
AME Ojwang', T Ruiz, S Bhattacharyya, S Chatterjee, PS Ojiambo, ...
Frontiers in Applied Mathematics and Statistics 7, 721352, 2021
42021
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
42018
Numerical characterization of support recovery in sparse regression with correlated design
A Kumar, S Bhattacharyya, K Bouchard
Communications in Statistics-Simulation and Computation 53 (3), 1504-1518, 2024
32024
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