Sorted by year and student last name
Year |
Student |
University |
Paper Title |
| 2024 | Kyle Stanley | The Pennsylvania State University |
Functional Factor Modeling of Brain Connectivity |
| 2024 | Yi Zhang | Harvard University |
Individualized Policy Evaluation and Learning under Clustered Network Interference |
| 2024 | Omar Hagrass | The Pennsylvania State University |
Minimax Optimal Goodness-of-Fit Testing with Kernel Stein Discrepancy. |
| 2024 | Sofia Vega | Harvard University |
Spatio-temporal quasi-experimental methods for rare disease outcomes: The impact of reformulated gasoline on childhood hematologic cancer |
| 2024 | Zhoujingpeng Wei | University of Wisconsin-Madison |
Melody: Meta-analysis of Microbiome Association Studies for Discovering Generalizable Microbial Signatures |
| 2024 | Yiming Li | Columbia University |
Robust and Efficient Integration of Blockwise Missing and Semi-Supervised Data |
| 2024 | Yikun Zhang | University of Washington |
Efficient Inference on High-Dimensional Linear Models with Missing Outcomes |
| 2024 | Blake Hansen | Brown University |
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings |
| 2024 | Madhav Sankaranarayanan | Harvard T.H. Chan School of Public Health |
A Distribution-free Mixed Integer Optimization Approach to Hierarchical Modelling of Clustered and Longitudinal Data |
| 2024 | Yihan Bao | Yale University |
Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting |
