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On sliced inverse regression with high-dimensional covariates

Zhu, Lixing; Miao, Baiqi; Peng, Heng - In: Journal of the American Statistical Association : JASA 101 (2006), pp. 630-643

Persistent link: https://www.econbiz.de/10003334648

Dimension reduction and predictor selection in semiparametric models

Yu, Zhou; Zhu, Liping; Peng, Heng; Zhu, Lixing - In: Biometrika 100 (2013) 3, pp. 641-654

Dimension reduction in semiparametric regressions includes construction of informative linear combinations and selection of contributing predictors. To reduce the predictor dimension in semiparametric regressions, we propose an &ell;<sub>1</sub>-minimization of sliced inverse regression with the Dantzig...

Persistent link: https://www.econbiz.de/10010969897

On Sliced Inverse Regression With High-Dimensional Covariates

Zhu, Lixing; Miao, Baiqi; Peng, Heng - In: Journal of the American Statistical Association 101 (2006) June, pp. 630-643

Persistent link: https://www.econbiz.de/10005238867

Theory and Methods - On Sliced Inverse Regression With High-Dimensional Covariates

Zhu, Lixing; Miao, Baiqi; Peng, Heng - In: Journal of the American Statistical Association : JASA 101 (2006) 474, pp. 630-643

Persistent link: https://www.econbiz.de/10007268842