Variable importance assessment in sliced inverse regression for variable selection

Communications in Statistics - Simulation and Computation ◽

10.1080/03610918.2017.1375522 ◽

2017 ◽

Vol 48 (1) ◽

pp. 169-199

Author(s):

Ines Jlassi ◽

Jérôme Saracco

Keyword(s):

Variable Selection ◽

Variable Importance ◽

Sliced Inverse Regression ◽

Inverse Regression ◽

Importance Assessment

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Variable selection for general index models via sliced inverse regression

The Annals of Statistics ◽

10.1214/14-aos1233 ◽

2014 ◽

Vol 42 (5) ◽

pp. 1751-1786 ◽

Author(s):

Bo Jiang ◽

Jun S. Liu

Keyword(s):

Variable Selection ◽

Sliced Inverse Regression ◽

Inverse Regression ◽

General Index ◽

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Robust variable selection in sliced inverse regression using Tukey’s biweight criterion and ball covariance

Journal of Physics Conference Series ◽

10.1088/1742-6596/1664/1/012034 ◽

2020 ◽

Vol 1664 ◽

pp. 012034

Author(s):

Ali Alkenani

Keyword(s):

Variable Selection ◽

Sliced Inverse Regression ◽

Inverse Regression

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Robust Group Identification and Variable Selection in Sliced Inverse Regression Using Tukey's Biweight Criterion and Ball Covariance

GAZI UNIVERSITY JOURNAL OF SCIENCE ◽

10.35378/gujs.735503 ◽

2021 ◽

Author(s):

Ali ALKENANİ

Keyword(s):

Variable Selection ◽

Group Identification ◽

Sliced Inverse Regression ◽

Inverse Regression

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Variable Selection in Sliced Inverse Regression Using Generalized Eigenvalue Problem with Penalties

Communications for Statistical Applications and Methods ◽

10.5351/ckss.2007.14.1.215 ◽

2007 ◽

Vol 14 (1) ◽

pp. 215-227

Author(s):

Chong-Sun Park

Keyword(s):

Eigenvalue Problem ◽

Variable Selection ◽

Generalized Eigenvalue Problem ◽

Sliced Inverse Regression ◽

Inverse Regression ◽

Generalized Eigenvalue

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A new sliced inverse regression method for multivariate response

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2014.03.006 ◽

2014 ◽

Vol 77 ◽

pp. 285-299 ◽

Author(s):

R. Coudret ◽

S. Girard ◽

J. Saracco

Keyword(s):

Regression Method ◽

Sliced Inverse Regression ◽

Inverse Regression ◽

Multivariate Response

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High-Dimensional Elliptical Sliced Inverse Regression in non-Gaussian Distributions

Journal of Business and Economic Statistics ◽

10.1080/07350015.2021.1910041 ◽

2021 ◽

pp. 1-39

Author(s):

Xin Chen ◽

Jia Zhang ◽

Wang Zhou

Keyword(s):

Sliced Inverse Regression ◽

High Dimensional ◽

Inverse Regression ◽

Gaussian Distributions ◽

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Slope reliability analysis in spatially variable soils using sliced inverse regression-based multivariate adaptive regression spline

Bulletin of Engineering Geology and the Environment ◽

10.1007/s10064-021-02353-9 ◽

2021 ◽

Author(s):

Zhi-Ping Deng ◽

Min Pan ◽

Jing-Tai Niu ◽

Shui-Hua Jiang ◽

Wu-Wen Qian

Keyword(s):

Reliability Analysis ◽

Multivariate Adaptive Regression Spline ◽

Sliced Inverse Regression ◽

Inverse Regression ◽

Regression Spline ◽

Adaptive Regression

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Sliced Inverse Regression for Dimension Reduction: Comment

Journal of the American Statistical Association ◽

10.2307/2290564 ◽

1991 ◽

Vol 86 (414) ◽

pp. 328 ◽

Author(s):

R. Dennis Cook ◽

Sanford Weisberg

Keyword(s):

Dimension Reduction ◽

Sliced Inverse Regression ◽

Inverse Regression

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Graph informed sliced inverse regression

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2021.107302 ◽

2021 ◽

pp. 107302

Author(s):

Eugen Pircalabelu ◽

Andreas Artemiou

Keyword(s):

Sliced Inverse Regression ◽

Inverse Regression

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Fourier transform sparse inverse regression estimators for sufficient variable selection

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2021.107380 ◽

2021 ◽

pp. 107380

Author(s):

Jiaying Weng

Keyword(s):

Fourier Transform ◽

Variable Selection ◽

Inverse Regression ◽

Regression Estimators

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