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1107.2502
Cited By

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

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

13 July 2011

ArXiv (abs)PDF HTML

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

5 / 5 papers shown

A sequential stepwise screening procedure for sparse recovery in
high-dimensional multiresponse models with complex group structures

A sequential stepwise screening procedure for sparse recovery in high-dimensional multiresponse models with complex group structuresStatistics and its Interface (SII), 2022

168

1

0

13 Aug 2022

High-dimensional variable selection via low-dimensional adaptive
learning

High-dimensional variable selection via low-dimensional adaptive learning

429

8

0

17 Apr 2019

Combined l_1 and greedy l_0 penalized least squares for linear model
selection

Combined l_1 and greedy l_0 penalized least squares for linear model selectionJournal of machine learning research (JMLR), 2013

336

16

0

22 Oct 2013

Bayesian model choice and information criteria in sparse generalized
linear models

Bayesian model choice and information criteria in sparse generalized linear models

304

66

0

23 Dec 2011

Selection Consistency of EBIC for GLIM with Non-canonical Links and
Diverging Number of Parameters

Selection Consistency of EBIC for GLIM with Non-canonical Links and Diverging Number of Parameters

202

9

0

13 Dec 2011

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