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....

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Publié dans:Journal of statistical computation and simulation. - 1999. - 90(2020), 2 vom: 28., Seite 341-354
Auteur principal: Fang, Kuangnan (Auteur)
Autres auteurs: Zhang, Xiaochen, Ma, Shuangge, Zhang, Qingzhao
Format: Article en ligne
Langue:English
Publié: 2020
Accès à la collection:Journal of statistical computation and simulation
Sujets:Journal Article Functional data analysis functional linear multivariate regression locally sparse