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08/03/2023
Functional Data Regression Reconciles with Excess Bases
As the development of measuring instruments and computers has accelerate...
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06/27/2023
Sparse estimation in ordinary kriging for functional data
We introduce a sparse estimation in the ordinary kriging for functional ...
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06/09/2023
Variable screening using factor analysis for high-dimensional data with multicollinearity
Screening methods are useful tools for variable selection in regression ...
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03/19/2022
Truncated estimation for varying-coefficient functional linear model
Varying-coefficient functional linear models consider the relationship b...
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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...
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10/25/2021
Sparse varying-coefficient functional linear model
We consider the problem of variable selection in varying-coefficient fun...
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05/26/2020
