| Identifying the latent space geometry of network models through analysis of curvature S Lubold, AG Chandrasekhar, TH McCormick Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 32 | 2023 |
| Consistently estimating graph statistics using Aggregated Relational Data E Breza, AG Chandrasekhar, TH McCormick, M Pan arXiv preprint arXiv:1908.09881 8, 2019 | 10 | 2019 |
| Formal definitions of conservative probability distribution functions (PDFs) S Lubold, CN Taylor Information Fusion 88, 175-183, 2022 | 7 | 2022 |
| Spectral goodness-of-fit tests for complete and partial network data S Lubold, B Liu, TH McCormick arXiv preprint arXiv:2106.09702, 2021 | 3 | 2021 |
| Verifying the predicted uncertainty of Bayesian estimators CN Taylor, S Lubold Geospatial Informatics, Motion Imagery, and Network Analytics VIII 10645 …, 2018 | 3 | 2018 |
| Consistently estimating network statistics using aggregated relational data E Breza, AG Chandrasekhar, S Lubold, TH McCormick, M Pan Proceedings of the National Academy of Sciences 120 (21), e2207185120, 2023 | 2 | 2023 |
| Bayesian hyperbolic multidimensional scaling B Liu, S Lubold, AE Raftery, TH McCormick Journal of Computational and Graphical Statistics, 1-32, 2024 | | 2024 |
| Estimativa e inferência para dados de rede S Lubold | | 2023 |
| Estimation and Inference for Network Data S Lubold University of Washington, 2023 | | 2023 |
| Observation of Temperature-dependent Heavy-and Light-hole Split Direct Bandgap and Tensile Strain from Ge0. 985Sn0. 015 using Photoreflectance Spectroscopy S Lubold, CN Taylor Information Fusion, 2022 | | 2022 |
Tyler H. McCormickUniversity of WashingtonVerified email at uw.edu
