James D. Wilson
James D. Wilson
Assistant Professor of Statistics. University of San Francisco
Verified email at usfca.edu - Homepage
Title
Cited by
Cited by
Year
An overview and perspective on social network monitoring
WH Woodall, MJ Zhao, K Paynabar, R Sparks, JD Wilson
IISE Transactions 49 (3), 354-365, 2017
542017
A testing based extraction algorithm for identifying significant communities in networks
JD Wilson, S Wang, PJ Mucha, S Bhamidi, AB Nobel
The Annals of Applied Statistics 8 (3), 1853-1891, 2014
392014
Stochastic weighted graphs: Flexible model specification and simulation
JD Wilson, MJ Denny, S Bhamidi, SJ Cranmer, BA Desmarais
Social Networks 49, 37-47, 2017
372017
Community extraction in multilayer networks with heterogeneous community structure
JD Wilson, J Palowitch, S Bhamidi, AB Nobel
The Journal of Machine Learning Research 18 (1), 5458-5506, 2017
332017
Modeling and estimating change in temporal networks via a dynamic degree corrected stochastic block model
JD Wilson, NT Stevens, WH Woodall
arXiv preprint arXiv:1605.04049, 2016
322016
Statistical methods for network surveillance
DR Jeske, NT Stevens, AG Tartakovsky, JD Wilson
Applied Stochastic Models in Business and Industry 34 (4), 425-445, 2018
172018
Statistical modeling of the default mode brain network reveals a segregated highway structure
PE Stillman, JD Wilson, MJ Denny, BA Desmarais, S Bhamidi, ...
Scientific reports 7 (1), 1-14, 2017
142017
Network analysis reveals sex-and antibiotic resistance-associated antivirulence targets in clinical uropathogens
KS Parker, JD Wilson, J Marschall, PJ Mucha, JP Henderson
ACS infectious diseases 1 (11), 523-532, 2015
132015
Monitoring communication outbreaks among an unknown team of actors in dynamic networks
R Sparks, JD Wilson
Journal of Quality Technology 51 (4), 353-374, 2019
122019
GERGM: Estimation and fit diagnostics for generalized exponential random graph models
MJ Denny, JD Wilson, SJ Cranmer, BA Desmarais, S Bhamidi
R package version 0.11 2, 2017
102017
Varying-coefficient models for dynamic networks
J Lee, G Li, JD Wilson
arXiv preprint arXiv:1702.03632, 2017
82017
Topic supervised non-negative matrix factorization
K MacMillan, JD Wilson
arXiv preprint arXiv:1706.05084, 2017
62017
Childhood peer network characteristics: genetic influences and links with early mental health trajectories.
E Szekely, I Pappa, JD Wilson, S Bhamidi, V Jaddoe, HT Verhulst, ...
Journal of Child Psychology and Psychiatry, DOI:10.1111/jcpp.12493, 2015
62015
Measuring the statistical significance of local connections in directed networks
J Wilson, S Bhamidi, A Nobel
NIPS Workshop on Frontiers of Network Analysis: Methods, Models, and …, 2013
62013
Modeling and detecting change in temporal networks via the degree corrected stochastic block model
JD Wilson, NT Stevens, WH Woodall
Quality and Reliability Engineering International, 2019
32019
Monitoring dynamic networks: a simulation-based strategy for comparing monitoring methods and a comparative study
L Yu, IM Zwetsloot, NT Stevens, JD Wilson, KL Tsui
arXiv preprint arXiv:1905.10302, 2019
22019
Statistical network surveillance
DR Jeske, NT Stevens, JD Wilson, AG Tartakovsky
Wiley StatsRef: Statistics Reference Online, 1-12, 2014
22014
A consistent organizational structure across multiple functional subnetworks of the human brain
PE Stillman, JD Wilson, MJ Denny, BA Desmarais, SJ Cranmer, ZL Lu
NeuroImage 197, 24-36, 2019
12019
Fast embedding of multilayer networks: An algorithm and application to group fMRI
JD Wilson, M Baybay, R Sankar, P Stillman
arXiv preprint arXiv:1809.06437, 2018
12018
Rejoinder to “Statistical methods for network surveillance”
DR Jeske, NT Stevens, AG Tartakovsky, JD Wilson
Applied Stochastic Models in Business and Industry 34 (4), 457-459, 2018
12018
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