Extended BIC for linear regression models with diverging number of relevant features and high or ultra-high feature spaces

10.1016/j.jspi.2012.08.015

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Bibliographic Details
Main Authors:	Luo, S., Chen, Z.
Other Authors:	STATISTICS & APPLIED PROBABILITY
Format:	Article
Published:	2014
Subjects:	Diverging number of parameters Extended Bayes information criterion Feature selection High dimensional feature space Penalized likelihood Selection consistency
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/105147
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-105147
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spelling	sg-nus-scholar.10635-1051472023-10-27T07:08:13Z Extended BIC for linear regression models with diverging number of relevant features and high or ultra-high feature spaces Luo, S. Chen, Z. STATISTICS & APPLIED PROBABILITY Diverging number of parameters Extended Bayes information criterion Feature selection High dimensional feature space Penalized likelihood Selection consistency 10.1016/j.jspi.2012.08.015 Journal of Statistical Planning and Inference 143 3 494-504 JSPID 2014-10-28T05:12:11Z 2014-10-28T05:12:11Z 2013-03 Article Luo, S., Chen, Z. (2013-03). Extended BIC for linear regression models with diverging number of relevant features and high or ultra-high feature spaces. Journal of Statistical Planning and Inference 143 (3) : 494-504. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jspi.2012.08.015 03783758 http://scholarbank.nus.edu.sg/handle/10635/105147 000312173600004 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Diverging number of parameters Extended Bayes information criterion Feature selection High dimensional feature space Penalized likelihood Selection consistency
spellingShingle	Diverging number of parameters Extended Bayes information criterion Feature selection High dimensional feature space Penalized likelihood Selection consistency Luo, S. Chen, Z. Extended BIC for linear regression models with diverging number of relevant features and high or ultra-high feature spaces
description	10.1016/j.jspi.2012.08.015
author2	STATISTICS & APPLIED PROBABILITY
author_facet	STATISTICS & APPLIED PROBABILITY Luo, S. Chen, Z.
format	Article
author	Luo, S. Chen, Z.
author_sort	Luo, S.
title	Extended BIC for linear regression models with diverging number of relevant features and high or ultra-high feature spaces
title_short	Extended BIC for linear regression models with diverging number of relevant features and high or ultra-high feature spaces
title_full	Extended BIC for linear regression models with diverging number of relevant features and high or ultra-high feature spaces
title_fullStr	Extended BIC for linear regression models with diverging number of relevant features and high or ultra-high feature spaces
title_full_unstemmed	Extended BIC for linear regression models with diverging number of relevant features and high or ultra-high feature spaces
title_sort	extended bic for linear regression models with diverging number of relevant features and high or ultra-high feature spaces
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/105147
_version_	1781788000910311424

Extended BIC for linear regression models with diverging number of relevant features and high or ultra-high feature spaces

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