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math.ST2026
Function-On-Function Regression Through Separable Neural Operators
Tailen Hsing, Su-Yun Huang, Toshinari Morimoto
This paper investigates the estimation of the regression operator in function-on-function regression models. While traditional research has predominantly focused on linear models o…
stat.ML2026
Generative and Nonparametric Approaches for Conditional Distribution Estimation: Methods, Perspectives, and Comparative Evaluations
Yen-Shiu Chin, Zhi-Yu Jou, Toshinari Morimoto +5
The inference of conditional distributions is a fundamental problem in statistics, essential for prediction, uncertainty quantification, and probabilistic modeling. A wide range of…