3 papers
math.ST2026
A Theory of Nonparametric Covariance Function Estimation for Discretely Observed Data
Yoshikazu Terada, Atsutomo Yara
We study nonparametric covariance function estimation for functional data observed with noise at discrete locations on a -dimensional domain. Estimating the covariance function…
stat.ME2025
Regularized k-POD: Sparse k-means clustering for high-dimensional missing data
Xin Guan, Yoshikazu Terada
The classical k-means clustering, based on distances computed from all data features, cannot be directly applied to incomplete data with missing values. A natural extension of k-me…
math.ST2024
Some notes on the -means clustering for missing data
Yoshikazu Terada, Xin Guan
The classical -means clustering requires a complete data matrix without missing entries. As a natural extension of the -means clustering for missing data, the -POD cluster…