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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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Podrobná bibliografie
Vydáno v:J Stat Comput Simul
Hlavní autoři: Fang, Kuangnan, Zhang, Xiaochen, Ma, Shuangge, Zhang, Qingzhao
Médium: Artigo
Jazyk:Inglês
Vydáno: 2019
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7531773/
https://ncbi.nlm.nih.gov/pubmed/33012883
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00949655.2019.1680676
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