3 papers
stat.ME2025
Nonparametric function-on-scalar regression using deep neural networks
Kazunori Takeshita, Yoshikazu Terada
We focus on nonlinear Function-on-Scalar regression, where the predictors are scalar variables, and the responses are functional data. Most existing studies approximate the hidden…
math.ST2025
Nonparametric logistic regression with deep learning
Atsutomo Yara, Yoshikazu Terada
Consider the nonparametric logistic regression problem. In the logistic regression, we usually consider the maximum likelihood estimator, and the excess risk is the expectation of…
stat.ME2024
-means clustering for sparsely observed longitudinal data
Michio Yamamoto, Yoshikazu Terada
In longitudinal data analysis, observation points of repeated measurements over time often vary among subjects except in well-designed experimental studies. Additionally, measureme…