Improving the prediction performance of the Lasso by subtracting the additive structural noises
type: Item
instance of: scholarly article
title: Improving the prediction performance of the Lasso by subtracting the additive structural noises
zbMATH Open document ID: 1417.62070
author: Morteza Amini
author: M. Roozbeh
published in: Computational Statistics
publication date: 2019-02-27T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62J07
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 7030238
zbMATH Keywords: additive partially linear model
zbMATH Keywords: high dimensional
zbMATH Keywords: Lasso
zbMATH Keywords: kernel smoothing
zbMATH Keywords: sparsity
describes a project that uses: Fahrmeir
describes a project that uses: gamair
describes a project that uses: SemiPar
MaRDI profile type: Publication
full work available at URL: s00180-018-0849-0
OpenAlex ID: W2899676570
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DOI: 10.1007/S00180-018-0849-0
description: scientific article; zbMATH DE number 7030238