Feature screening for nonparametric and semiparametric models with ultrahigh-dimensional covariates
type: Item
instance of: scholarly article
title: Feature screening for nonparametric and semiparametric models with ultrahigh-dimensional covariates
zbMATH Open document ID: 1409.62093
author: Jiajia Zhang
author: Junying Zhang
author: Riquan Zhang
published in: Journal of Systems Science and Complexity
publication date: 2019-01-15T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62H12
zbMATH DE Number: 7001994
zbMATH Keywords: conditional expectation
zbMATH Keywords: dimensionality reduction
zbMATH Keywords: nonparametric and semiparametric models
zbMATH Keywords: ultrahigh dimension
zbMATH Keywords: variable screening
describes a project that uses: ElemStatLearn
MaRDI profile type: Publication
full work available at URL: s11424-017-6310-6
OpenAlex ID: W2770264837
cites work: Sure Independence Screening for Ultrahigh Dimensional Feature Space
cites work: Statistics for high-dimensional data. Methods, theory and applications.
cites work: Sure independence screening in generalized linear models with NP-dimensionality
cites work: Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
cites work: Q3125064
cites work: Q3999325
cites work: Forward Regression for Ultra-High Dimensional Variable Screening
cites work: Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
cites work: An Effective Bandwidth Selector for Local Least Squares Regression
cites work: Sparse Additive Models
DOI: 10.1007/S11424-017-6310-6
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description: scientific article; zbMATH DE number 7001994