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Sliced inverse regression
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#	Item
1	30th August, Luke Prendergast, La Trobe University Add to Reading List Source URL: www.statsoc.org.au Language: English - Date: 2014-03-27 21:22:14 Linear regression Least squares Degrees of freedom Sufficient dimension reduction Statistics Regression analysis Sliced inverse regression
2	Joint Statistics Seminar The Hong Kong University of Science and Technology Directional Regression for Dimension Reduction by Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2009-02-08 21:34:28 Dimension reduction Regression Degrees of freedom Sufficient dimension reduction Statistics Regression analysis Sliced inverse regression
3	Multinomial Inverse Regression for Text Analysis Matt Taddy arXiv:1012.2098v7 [stat.ME] 8 Aug 2013 Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-08-08 23:27:26 Sufficient dimension reduction Sliced inverse regression Multinomial logit Linear regression Separation Multinomial distribution Exponential family Generalized linear model Outline of regression analysis Statistics Regression analysis Logistic regression
4	Unsupervised Kernel Dimension Reduction Meihong Wang Dept. of Computer Science U. of Southern California Los Angeles, CA 90089 Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:02 Dimension reduction Nonlinear dimensionality reduction Kernel principal component analysis Principal component analysis Supervised learning Sliced inverse regression Sufficient dimension reduction Gaussian function Projection Statistics Mathematics Multivariate statistics
5	Weighted Principal Support Vector Machines for Sufficient Dimension Reduction in Binary Classification Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-31 10:29:52 Regression analysis Singular value decomposition Abstract algebra Multivariate statistics Sliced inverse regression Sufficient dimension reduction Kernel Support vector machine Vector space Algebra Mathematics Linear algebra
6	Dimension reduction and visualization of histogram data using sliced inverse regression Han-Ming Wu1,* 1. Department of Mathematics, Tamkang University Contact author: [removed] Add to Reading List Source URL: www3.stat.sinica.edu.tw Language: English* - Date: 2014-05-21 03:02:56 Data analysis Non-parametric statistics Principal component analysis Singular value decomposition Sufficient dimension reduction Sliced inverse regression Dimension reduction Histogram Data visualization Statistics Multivariate statistics Regression analysis
7	PDF Document Add to Reading List Source URL: projectsetdotcom.files.wordpress.com Language: English - Date: 2014-06-29 00:47:34 Sliced inverse regression Regression dilution Statistics Regression analysis Plot
8	International Statistical Review (2013), 81, 1, 134–150 doi:[removed]j[removed]00182.x A Review on Dimension Reduction Yanyuan Ma1 and Liping Zhu2 1 Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2013-04-05 14:02:27 Sliced inverse regression Ordinary least squares Degrees of freedom Multivariate normal distribution Identifiability Normal distribution Covariance Linear regression Errors-in-variables models Statistics Regression analysis Sufficient dimension reduction
9	Biometrika (2013), 100, 2, pp. 371–383 C 2013 Biometrika Trust Printed in Great Britain doi: [removed]biomet/ass075 Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2013-07-23 03:22:55 Sliced inverse regression Variance Sufficient dimension reduction Multivariate normal distribution Expected value Errors-in-variables models Theorems and definitions in linear algebra Statistics Regression analysis Ordinary least squares
10	Supplementary materials for this article are available online. Please go to www.tandfonline.com/r/JASA A Semiparametric Approach to Dimension Reduction Yanyuan MA and Liping ZHU We provide a novel and completely differe Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2012-06-11 20:30:18 Covariance Linear least squares Sufficient dimension reduction Variance Sliced inverse regression Expected value Linear model Multivariate normal distribution Linear regression Statistics Regression analysis Ordinary least squares

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