4 papers · 1 filter
Neural Wasserstein Two-Sample Tests
Xiaoyu Hu, Zhenhua Lin
The two-sample homogeneity testing problem is fundamental in statistics and becomes particularly challenging in high dimensions, where classical tests can suffer substantial power…
Multi-transport Distributional Regression
Yuanying Chen, Tongyu Li, Yang Bai +1
We study distribution-on-distribution regression problems in which a response distribution depends on multiple distributional predictors. Such settings arise naturally in applicati…
Transfer Learning Meets Functional Linear Regression: No Negative Transfer under Posterior Drift
Xiaoyu Hu, Zhenhua Lin
Posterior drift refers to changes in the relationship between responses and covariates while the distributions of the covariates remain unchanged. In this work, we explore function…
Stationarity of Manifold Time Series
Junhao Zhu, Dehan Kong, Zhaolei Zhang +1
In modern interdisciplinary research, manifold time series data have been garnering more attention. A critical question in analyzing such data is ``stationarity'', which reflects t…