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Variable selection for functional linear models with functional predictors and a functional response
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- 要約等We consider a variable selection problem for functional linear models where both multiple predictors and a response are functions. Especially we assume that variables are given as functions of time and then construct the historical functional linear model which takes the relationship of dependences of predictors and a response into consideration. Unknown parameters included in the model are estimated by the maximum penalized likelihood method with the L1 penalty. We can simultaneously estimate and select variables given as functions usi......the L1 type penalty. A regularization parameter involved in the regularization method is decided by ...
- 著者標目（識別子）90633305 1000090633305 DA1898743X https://ci.nii.ac.jp/author/DA1898743X#entity https://viaf.org/viaf/sourceID/NII%7CDA1898743X 8000000477222 9000017...
- 出版者（掲載誌）Faculty of Mathematics, Kyushu University
Variable selection for functional linear models with functional predictors and a functional response
デジタル記事
インターネットで読める全国の図書館
- 一般注記Global COE Program Education-and-Research Hub for Mathematics-for-Industry グローバルCOEプログラム「マス･フォア...
- 関連情報MI Preprint Series || 2013-14 || p1-17 http://www.math.kyushu-u.ac.jp/
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