Sorted by year and student last name
Year |
Student |
University |
Paper Title |
| 2023 | Alan N. Amin | Harvard University |
Biological Sequence Kernels with Guaranteed Flexibility |
| 2023 | Di Wang | University of Michigan |
Incorporating External Risk Information with the Cox Model under Population Heterogeneity: Applications to Trans-Ancestry Polygenic Hazard Scores |
| 2023 | Gary Hettinger | University of Pennsylvania |
Estimation of Policy-relevant Causal Effects in the Presence of Interference with an Application to the Philadelphia Beverage Tax |
| 2023 | Jing Wang | University of Connecticut |
Scale-invariant Optimal Sampling and Variable Selection with Rare-events Data |
| 2023 | Kaidi Kang | Vanderbilt University |
Double Anchoring Events Based Sigmoidal Mixed Model: An Application in Alzheimer’s Disease Progression |
| 2023 | Penghui Huang | University of Pittsburgh |
Accurate Estimation of Rare Cell Type Fractions from Tissue Omics Data via Hierarchical Deconvolution |
| 2023 | Tianle Liu | Harvard University |
Wasserstein-p Bounds in the Central Limit Theorem under Weak Dependence |
| 2023 | Ye Tian | Columbia University |
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness |
