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Sufficient dimension reduction
In statistics, sufficient dimension reduction (SDR) is a paradigm for analyzing data that combines the ideas of dimension reduction with the concept…
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Related topics
Related topics
9 relations
Basis (linear algebra)
Convex set
Curse of dimensionality
Dimensionality reduction
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Canonical kernel dimension reduction
Chenyang Tao
,
Jianfeng Feng
Computational Statistics & Data Analysis
2017
Corpus ID: 14385264
2016
2016
Sparse Sufficient Dimension Reduction for Markov Blanket Discovery
Xiaomao Li
,
Jianxin Yin
Communications in statistics. Simulation and…
2016
Corpus ID: 21047925
In this article, we propose to use sparse sufficient dimension reduction as a novel method for Markov blanket discovery of a…
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2015
2015
High-dimensional semi-supervised learning via a fusion-refinement procedure
Zhikun Lei
,
Renfu Li
,
X. Ni
,
X. Huo
Signal Processing
2015
Corpus ID: 8557017
2014
2014
Sufficient dimension reduction for complex data structures
Shanshan Ding
2014
Corpus ID: 60372910
University of Minnesota Ph.D. dissertation. June 2014. Major: Statistics. Advisor: Ralph Dennis Cook. 1 computer file (PDF); xi…
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2014
2014
General directional regression
Zhou Yu
,
Yuexiao Dong
,
Mian Huang
Journal of Multivariate Analysis
2014
Corpus ID: 36432155
2012
2012
An alternating determination-optimization approach for an additive multi-index model
Zhenghui Feng
,
Lixing Zhu
Computational Statistics & Data Analysis
2012
Corpus ID: 5520285
2011
2011
Sufficient Component Analysis for Supervised Dimension Reduction
M. Yamada
,
Gang Niu
,
Jun Takagi
,
Masashi Sugiyama
2011
Corpus ID: 88518318
The purpose of sufficient dimension reduction (SDR) is to find the low-dimensional subspace of input features that is sufficient…
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2010
2010
A sparse eigen-decomposition estimation in semiparametric regression
Liping Zhu
,
Zhou Yu
,
Li-Xing Zhu
Computational Statistics & Data Analysis
2010
Corpus ID: 32219688
2008
2008
Covariate selection and propensity score specification in causal inference
I. Waernbaum
2008
Corpus ID: 23240501
This thesis makes contributions to the statistical research field of causal inference in observational studies. The results…
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2006
2006
Sufficient dimension reduction in regressions across heterogeneous subpopulations
Liqiang Ni
,
R. Dennis Cook
2006
Corpus ID: 29653735
Summary. Sliced inverse regression is one of the widely used dimension reduction methods. Chiaromonte and co‐workers extended…
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