Smooth and Locally Sparse Estimation for Multiple-Output Functional Linear Regression
Functional data analysis has attracted substantial research interest and the goal of functional sparsity is to produce a sparse estimate which assigns zero values over regions where the true underlying function is zero, i.e., no relationship between the response variable and the predictor variable....
Publié dans: | Journal of statistical computation and simulation. - 1999. - 90(2020), 2 vom: 28., Seite 341-354 |
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Auteur principal: | |
Autres auteurs: | , , |
Format: | Article en ligne |
Langue: | English |
Publié: |
2020
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Accès à la collection: | Journal of statistical computation and simulation |
Sujets: | Journal Article Functional data analysis functional linear multivariate regression locally sparse |
Accès en ligne |
Volltext |