research
∙
08/03/2023
Functional Data Regression Reconciles with Excess Bases
As the development of measuring instruments and computers has accelerate...
share
research
∙
06/27/2023
Sparse estimation in ordinary kriging for functional data
We introduce a sparse estimation in the ordinary kriging for functional ...
research
∙
06/09/2023
Variable screening using factor analysis for high-dimensional data with multicollinearity
Screening methods are useful tools for variable selection in regression ...
research
∙
03/19/2022
Truncated estimation for varying-coefficient functional linear model
Varying-coefficient functional linear models consider the relationship b...
research
∙
03/11/2022
Classification from Positive and Biased Negative Data with Skewed Labeled Posterior Probability
The binary classification problem has a situation where only biased data...
research
∙
10/25/2021
Sparse varying-coefficient functional linear model
We consider the problem of variable selection in varying-coefficient fun...
research
∙
05/26/2020