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stat.ME2024
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…
math.ST2024
Optimal estimation in private distributed functional data analysis
Gengyu Xue, Zhenhua Lin, Yi Yu
We systematically investigate the preservation of differential privacy in functional data analysis, beginning with functional mean estimation and extending to varying coefficient m…
stat.ME2024
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…