Srijan Sengupta
Srijan Sengupta
Assistant Professor of Statistics, North Carolina State University
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A block model for node popularity in networks with community structure
S Sengupta, Y Chen
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018
Spectral clustering in heterogeneous networks
S Sengupta, Y Chen
Statistica Sinica, 1081-1106, 2015
A subsampled double bootstrap for massive data
S Sengupta, S Volgushev, X Shao
Journal of the American Statistical Association 111 (515), 1222--1232, 2016
Toward epidemic thresholds on temporal networks: a review and open questions
J Leitch, KA Alexander, S Sengupta
Applied Network Science 4 (1), 1-21, 2019
Performance evaluation of social network anomaly detection using a moving window–based scan method
MJ Zhao, AR Driscoll, S Sengupta, RD Fricker Jr, DJ Spitzner, ...
Quality and Reliability Engineering International 34 (8), 1699-1716, 2018
The effect of temporal aggregation level in social network monitoring
MJ Zhao, AR Driscoll, S Sengupta, NT Stevens, RD Fricker Jr, ...
PloS one 13 (12), e0209075, 2018
Using artificial neural networks to predict pH, ammonia, and volatile fatty acid concentrations in the rumen
MM Li, S Sengupta, MD Hanigan
Journal of dairy science 102 (10), 8850-8861, 2019
Statistical evaluation of spectral methods for anomaly detection in static networks
T Komolafe, AV Quevedo, S Sengupta, WH Woodall
Network Science 7 (3), 319-352, 2019
Online social deception and its countermeasures: A survey
Z Guo, JH Cho, R Chen, S Sengupta, M Hong, T Mitra
IEEE Access 9, 1770-1806, 2020
Discussion of “Statistical methods for network surveillance”
S Sengupta, WH Woodall
Applied Stochastic Models in Business and Industry 34 (4), 446-448, 2018
Anomaly detection in static networks using egonets
S Sengupta
arXiv preprint arXiv:1807.08925, 2018
The dependent random weighting
S Sengupta, X Shao, Y Wang
Journal of Time Series Analysis 36 (3), 315-326, 2015
Recent developments in bootstrap methods for dependent data
G Cavaliere, DN Politis, A Rahbek, P Bertail, S Clémençon, J Tressou
Journal of Time Series Analysis 36 (3), 462-480, 2015
The value of summary statistics for anomaly detection in temporally evolving networks: A performance evaluation study
L Kodali, S Sengupta, L House, WH Woodall
Applied Stochastic Models in Business and Industry 36 (6), 980-1013, 2020
A Bootstrap-based Inference Framework for Testing Similarity of Paired Networks
S Bhadra, K Chakraborty, S Sengupta, S Lahiri
arXiv preprint arXiv:1911.06869, 2019
Parameter estimation from retarding potential analyzers in the presence of realistic noise
S Debchoudhury
Virginia Tech, 2019
A model-agnostic hypothesis test for community structure and homophily in networks
E Yanchenko, S Sengupta
arXiv preprint arXiv:2107.06093, 2021
Scalable estimation of epidemic thresholds via node sampling
A Dasgupta, S Sengupta
Sankhya A, 1-24, 2021
Testing for the Network Small-World Property
K Lovekar, S Sengupta, S Paul
arXiv preprint arXiv:2103.08035, 2021
A Bootstrap‐Based Approach for Improving Measurements by Retarding Potential Analyzers
S Debchoudhury, S Sengupta, G Earle, W Coley
Journal of Geophysical Research: Space Physics 124 (6), 4569-4584, 2019
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