Sliced inverse regression

Sliced inverse regression (SIR) is a tool for dimension reduction in the field of multivariate statistics. In statistics, regression analysis is a… (More)
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Topic mentions per year

Topic mentions per year

1994-2017
05101519942017

Papers overview

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2017
2017
Sliced Inverse Regression (SIR) has been extensively used to reduce the dimension of the predictor space before performing… (More)
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2013
2013
Marie Chavent, Stéphane Girard, Vanessa Kuentz-Simonet, Benoit Liquet, Thi Mong Ngoc Nguyen and Jérôme Saracco 1 Institut de Math… (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 a… (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 this… (More)
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2009
2009
Sliced inverse regression (SIR) is a renowned dimension reduction method for finding an effective low-dimensional linear subspace… (More)
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2009
2009
Sliced Inverse Regression (SIR) is an effective method for dimension reduction in high-dimensional regression problems. The… (More)
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2008
2008
We developed localized sliced inverse regression for supervised dimension reduction. It has the advantages of preventing… (More)
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2006
2006
Sliced inverse regression is a promising method for the estimation of the central dimension-reduction subspace (CDR space) in… (More)
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2005
2005
MOTIVATION Identification of transcription factor binding motifs (TFBMs) is a crucial first step towards the understanding of… (More)
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2004
2004
In order to obtain reference curves for data sets when the covariate is multidimensional, we propose in this paper a new… (More)
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