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
121 2014 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
87 2020 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
36 2019 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
35 2020 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
18 * 2020 Pseudo-likelihood-based JR Stewart, M Schweinberger
arXiv preprint arXiv:2012.07167, 2020
7 2020 mlergm: Multilevel exponential-family random graph models J Stewart, M Schweinberger
R package version 0.1, 2018
6 2018 Model selection for network data based on spectral information JIP Hidalgo, JR Stewart
arXiv preprint arXiv:2301.02871, 2023
1 2023 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 