| Disentangling positive and negative partisanship in social media interactions using a coevolving latent space network with attractors model X Zhu, C Caliskan, DP Christenson, K Spiliopoulos, D Walker, ... Journal of the Royal Statistical Society Series A: Statistics in Society 186 …, 2023 | 2 | 2023 |
| Inferring the Type of Phase Transitions Undergone in Epileptic Seizures Using Random Graph Hidden Markov Models for Percolation in Noisy Dynamic Networks X Zhu, H Shappell, MA Kramer, CJ Chu, ED Kolaczyk arXiv preprint arXiv:2102.11948, 2021 | 2 | 2021 |
| Distinguishing between different percolation regimes in noisy dynamic networks with an application to epileptic seizures X Zhu, H Shappell, MA Kramer, CJ Chu, ED Kolaczyk PLOS Computational Biology 19 (6), e1011188, 2023 | 1 | 2023 |
| Quantifying Uncertainty for Temporal Motif Estimation in Graph Streams under Sampling X Zhu, ED Kolaczyk arXiv preprint arXiv:2202.10513, 2022 | 1 | 2022 |
| Stochastic gradient descent-based inference for dynamic network models with attractors H Pan, X Zhu, C Caliskan, DP Christenson, K Spiliopoulos, D Walker, ... arXiv preprint arXiv:2403.07124, 2024 | | 2024 |
| Discussion of “Co-citation and Co-authorship Networks of Statisticians” X Zhu, ED Kolaczyk JOURNAL OF BUSINESS & ECONOMIC STATISTICS 40 (2), 494-496, 2022 | | 2022 |
| Discussion of “Co-citation and Co-authorship Networks of Statisticians” JD Loyal, Y Chen Journal of Business & Economic Statistics 40 (2), 497-498, 2022 | | 2022 |
| Statistical methods for dynamic networks X Zhu Boston University, 2022 | | 2022 |
| Phylogenetic Inference by Independence Tests and Structural EM for Continuous Characters X Zhu, M Drton Technical report, 2017 | | 2017 |
