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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… Expand
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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… Expand
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2009
2009
Sliced inverse regression (SIR) is a renowned dimension reduction method for finding an effective low-dimensional linear subspace… Expand
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2008
2008
We develop a supervised dimension reduction method that integrates the idea of localization from manifold learning with the… Expand
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Highly Cited
2008
Highly Cited
2008
A new dimension-reduction method involving slicing the region of the response and applying local kernel regression to each slice… Expand
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Highly Cited
2006
Highly Cited
2006
Sliced inverse regression is a promising method for the estimation of the central dimension-reduction subspace (CDR space) in… Expand
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2006
2006
Sliced inverse regression (SIR) is an innovative and effective method for dimension reduction and data visualization of high… Expand
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Highly Cited
2005
Highly Cited
2005
A family of dimension-reduction methods, the inverse regression (IR) family, is developed by minimizing a quadratic objective… Expand
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Highly Cited
1995
Highly Cited
1995
 
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Highly Cited
1991
Highly Cited
1991
Abstract Modern advances in computing power have greatly widened scientists' scope in gathering and investigating information… Expand
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Highly Cited
1991
Highly Cited
1991
 
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