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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
1302014
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
1042020
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
452020
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
442019
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
22*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
142020
mlergm: Multilevel exponential-family random graph models
J Stewart, M Schweinberger
R package version 0.1, 2018
82018
Rates of convergence and normal approximations for estimators of local dependence random graph models
JR Stewart
Bernoulli, accepted and in press, 2025
42025
Collaboration and growth in a large research cooperative: A network analytic approach
LJ Ducharme, K Fujimoto, J Kuo, J Stewart, B Taylor, J Schneider
Evaluation and Program Planning 102, 102375, 2024
22024
Consistency of empirical distributions of sequences of graph statistics in networks with dependent edges
JR Stewart
Journal of Multivariate Analysis 207, 105420, 2025
12025
Model selection for network data based on spectral information
JI Peņa Hidalgo, JR Stewart
Applied Network Science 36 (9), 2024
1*2024
A Latent Space Approach to Inferring Distance-Dependent Reciprocity in Directed Networks
JD Loyal, X Wu, JR Stewart
Stat 14 (1), e70042, 2025
2025
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
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Articles 1–14