296 citations · 480 across the 13 of their papers we have counts for
14 papers
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…
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…
Variable Selection and Minimax Prediction in High-dimensional Functional Linear Model
Xingche Guo, Yehua Li, Tailen Hsing
High-dimensional functional data have become increasingly prevalent in modern applications such as high-frequency financial data and neuroimaging data analysis. We investigate a cl…
Multivariate Matérn Models -- A Spectral Approach
Drew Yarger, Stilian Stoev, Tailen Hsing
The classical Matérn model has been a staple in spatial statistics. Novel data-rich applications in environmental and physical sciences, however, call for new, flexible vector-valu…
Spectral Density Estimation of Function-Valued Spatial Processes
Rafail Kartsioukas, Stilian Stoev, Tailen Hsing
The spectral density function describes the second-order properties of a stationary stochastic process on . This paper considers the nonparametric estimation of the s…
Large Deviation Probabilities for Sums of Random Variables with Heavy or Subexponential Tails
Daren B. H. Cline, Tailen Hsing
Let be the sum of independent random variables with distribution . Under the assumption that is slowly varying, conditions for $$ \lim_{n\to\infty}\sup_{s\…