Sufficient dimension reduction - PDFSEARCH.IO - Document Search Engine

Sufficient dimension reduction
Results: 14

#	Item
1	Kernel-Based Contrast Functions for Sufficient Dimension Reduction K. Fukumizu, F. Bach, & M. I. Jordan, (Annals of Statistics, 37, . Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2009-09-10 06:49:18
2	Sufficient Dimension Reduction via Bayesian Mixture Modeling Brian J. Reich1 , Howard D. Bondell, and Lexin Li Department of Statistics, North Carolina State University, Raleigh, NC August 6, 2010 Summary. Add to Reading List Source URL: www4.stat.ncsu.edu Language: English - Date: 2012-09-12 16:20:35
3	Index active subspace analytic examples, 25 choosing the dimension, 6, 37, 59 computing, 25–35 Add to Reading List Source URL: www.siam.org Language: English - Date: 2015-03-17 12:37:00 Multivariate statistics Singular value decomposition Mathematical optimization Jet engines Spacecraft propulsion HyShot Scramjet Sufficient dimension reduction Principal component analysis Algebra Statistics Mathematics
4	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
5	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
6	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
7	Regression on Manifolds Using Kernel Dimension Reduction Jens Nilsson Centre for Mathematical Sciences, Lund University, Box 118, SE[removed]Lund, Sweden Fei Sha Computer Science Division, University of California, Berke Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:01 Multivariate statistics Nonlinear dimensionality reduction Dimension reduction Principal component analysis Sufficient dimension reduction Manifold Eigenvalues and eigenvectors Projection Linear discriminant analysis Statistics Mathematics Algebra
8	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
9	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
10	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

UPDATE