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Jonathan R. Stewart
Jonathan R. Stewart
Assistant Professor, Department of Statistics, Florida State University
Verified email at fsu.edu - Homepage
Title
Cited by
Cited by
Year
Parent of origin, mosaicism, and recurrence risk: probabilistic modeling explains the broken symmetry of transmission genetics
IM Campbell, JR Stewart, RA James, JR Lupski, P Stankiewicz, ...
The American Journal of Human Genetics 95 (4), 345-359, 2014
1222014
Exponential-family models of random graphs: inference in finite, super and infinite population scenarios
M Schweinberger, PN Krivitsky, CT Butts, JR Stewart
Statistical Science 35 (4), 627-662, 2020
902020
Multilevel network data facilitate statistical inference for curved ERGMs with geometrically weighted terms
J Stewart, M Schweinberger, M Bojanowski, M Morris
Social Networks 59, 98-119, 2019
382019
Concentration and consistency results for canonical and curved exponential-family models of random graphs
M Schweinberger, J Stewart
The Annals of Statistics 48 (1), 374-396, 2020
372020
Large-scale estimation of random graph models with local dependence
S Babkin, JR Stewart, X Long, M Schweinberger
Computational Statistics & Data Analysis 152, 107029, 2020
20*2020
Pseudo-likelihood-based -estimation of random graphs with dependent edges and parameter vectors of increasing dimension
JR Stewart, M Schweinberger
arXiv preprint arXiv:2012.07167, 2020
92020
mlergm: Multilevel exponential-family random graph models
J Stewart, M Schweinberger
R package version 0.1, 2018
62018
Model selection for network data based on spectral information
JIP Hidalgo, JR Stewart
arXiv preprint arXiv:2301.02871, 2023
12023
Consistency of empirical distributions of sequences of graph statistics in networks with dependent edges
JR Stewart
arXiv preprint arXiv:2404.11438, 2024
2024
Rates of convergence and normal approximations for estimators of local dependence random graph models
JR Stewart
arXiv preprint arXiv:2404.11464, 2024
2024
Learning cross-layer dependence structure in multilayer networks
J Li, JR Stewart
arXiv preprint arXiv:2307.14982, 2023
2023
On the time to identify the nodes in a random graph
JR Stewart
Statistics & Probability Letters 195, 109779, 2023
2023
Consistent Estimation of High-Dimensional Random Graph Models with Dependent Edge Variables
JR Stewart
Rice University, 2020
2020
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