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 | 130 | 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 | 104 | 2020 |
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 | 45 | 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 | 44 | 2019 |
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 | 14 | 2020 |
mlergm: Multilevel exponential-family random graph models J Stewart, M Schweinberger R package version 0.1, 2018 | 8 | 2018 |
Rates of convergence and normal approximations for estimators of local dependence random graph models JR Stewart Bernoulli, accepted and in press, 2025 | 4 | 2025 |
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 | 2 | 2024 |
Consistency of empirical distributions of sequences of graph statistics in networks with dependent edges JR Stewart Journal of Multivariate Analysis 207, 105420, 2025 | 1 | 2025 |
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 |