Sliced inverse regression (SIR) is a tool for dimension reduction in the field of multivariate statistics. In statistics, regression analysis is aâ€¦Â (More)

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2017

2017

- Alessandro Chiancone, Florence Forbes, StÃ©phane D Girard
- Computational Statistics & Data Analysis
- 2017

Sliced Inverse Regression (SIR) has been extensively used to reduce the dimension of the predictor space before performingâ€¦Â (More)

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2013

2013

- Marie Chavent, StÃ©phane D Girard, +4 authors JÃ©rÃ´me Saracco
- 2013

Marie Chavent, StÃ©phane Girard, Vanessa Kuentz-Simonet, Benoit Liquet, Thi Mong Ngoc Nguyen and JÃ©rÃ´me Saracco 1 Institut de Mathâ€¦Â (More)

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2013

2013

- Kevin B. Li
- 2013

In this paper we consider a semiparametric regression model involving a p-dimensional explanatory variable x and including aâ€¦Â (More)

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2013

2013

We apply the univariate sliced inverse regression (SIR) to survival data. Our approach is different from the other papers on thisâ€¦Â (More)

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2009

2009

- Yi-Ren Yeh, Su-Yun Huang, Yuh-Jye Lee
- IEEE Transactions on Knowledge and Dataâ€¦
- 2009

Sliced inverse regression (SIR) is a renowned dimension reduction method for finding an effective low-dimensional linear subspaceâ€¦Â (More)

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2009

2009

- Caroline Bernard-Michel, Laurent Gardes, StÃ©phane D Girard
- Statistics and Computing
- 2009

Sliced Inverse Regression (SIR) is an effective method for dimension reduction in high-dimensional regression problems. Theâ€¦Â (More)

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2008

2008

- Qiang Wu, Sayan Mukherjee, Feng Liang
- NIPS
- 2008

We developed localized sliced inverse regression for supervised dimension reduction. It has the advantages of preventingâ€¦Â (More)

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2006

2006

- Lixing Zhu, Baiqi Miao, Heng Peng
- 2006

Sliced inverse regression is a promising method for the estimation of the central dimension-reduction subspace (CDR space) inâ€¦Â (More)

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2005

2005

- Wenxuan Zhong, Peng Zeng, Ping Ma, Jun S. Liu, Michael Yu Zhu
- Bioinformatics
- 2005

MOTIVATION
Identification of transcription factor binding motifs (TFBMs) is a crucial first step towards the understanding ofâ€¦Â (More)

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2004

2004

- Ali Gannoun, StÃ©phane D Girard, Christiane Guinot, JÃ©rÃ´me Saracco
- Computational Statistics & Data Analysis
- 2004

In order to obtain reference curves for data sets when the covariate is multidimensional, we propose in this paper a newâ€¦Â (More)

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