13 citations · 33 across the 13 of their papers we have counts for
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stat.ME2023
Reconciling Functional Data Regression with Excess Bases
Tomoya Wakayama, Hidetoshi Matsui
As the development of measuring instruments and computers has accelerated the collection of massive amounts of data, functional data analysis (FDA) has experienced a surge of atten…
stat.ME2023
Variable screening using factor analysis for high-dimensional data with multicollinearity
Shuntaro Tanaka, Hidetoshi Matsui
Screening methods are useful tools for variable selection in regression analysis when the number of predictors is much larger than the sample size. Factor analysis is used to elimi…
stat.ME2023★ 1 cited
Sparse estimation in ordinary kriging for functional data
Hidetoshi Matsui, Yuya Yamakawa
We introduce a sparse estimation in the ordinary kriging for functional data. The functional kriging predicts a feature given as a function at a location where the data are not obs…