'Canonical correlation' diaporamas de présentation

Canonical Correlation

Canonical Correlation. What is Canonical Correlation?. Canonical correlation seeks the weighted linear composite for each variate (sets of D.V.s or I.V.s) to maximize the overlap in their distributions.

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The importance of having an institutional repository

The importance of having an institutional repository. Alma Swan Key Perspectives Ltd Truro, UK. Daniel Coit Gilman First President, Johns Hopkins University. Key Perspectives Ltd. University of Edinburgh Strategic Plan 2008-12.

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9. Canonical Correlation

9. Canonical Correlation. Review: Linear Regression. In regression, our goal is to use the information available from the independent variables X to make our best guess about the value of the dependent variable Y. The regression model can be written as

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PLS PATH MODELLING : Computation of latent variables with the estimation mode B

PLS PATH MODELLING : Computation of latent variables with the estimation mode B. UNITE DE SENSOMETRIE ET CHIMIOMETRIE Nantes-France. Mohamed Hanafi. References. Herman Wold (1985). Partial Least Squares. Encyclopedia of statistical sciences ,

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PLS PATH MODELLING : Computation of latent variables with the estimation mode B

PLS PATH MODELLING : Computation of latent variables with the estimation mode B. UNITE DE SENSOMETRIE ET CHIMIOMETRIE Nantes-France. Mohamed Hanafi. References. Herman Wold (1985). Partial Least Squares. Encyclopedia of statistical sciences ,

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Rerandomization in Randomized Experiments

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Center for Biofilm Engineering

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Some Two-Block Problems

Some Two-Block Problems. Douglas M. Hawkins NCSU ECCR NISS Feb 2007 (work with Despina Stefan.). Disclaimer. No new results or material coming up. I will present some things that are known, and some useful-looking extensions. Extensions that look worth pursuing are for another day.

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Multi-view Clustering via Canonical Correlation Analysis Kamalika Chaudhuri et al. ICML 2009.

Multi-view Clustering via Canonical Correlation Analysis Kamalika Chaudhuri et al. ICML 2009. Presented By Wanchen Lu 2/25/2013. Introduction. Assumption in Multi-View problems.

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Canonical Correlation Analysis (CCA)

Canonical Correlation Analysis (CCA). CCA. This is it! The mother of all linear statistical analysis. When ? We want to find a structural relation between a set of independent variables and a set of dependent variables. CCA. When ? (part 2)

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Canonical Correlation: Equations

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Kernel methods

Navneet Goyal , BITS- Pilani , Rajasthan INDIA. Kernel methods. Figure source: http://wwwold.ini.ruhr-uni-bochum.de/thbio/group/neuralnet/index_p.html. Kernel Methods.

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PCA: Lecture 3 Extensions of PCA and Related Tools

PCA: Lecture 3 Extensions of PCA and Related Tools. Extended EOF (EEOF), Singular spectrum analysis (SSA), M-SSA Canonical Correlation Analysis (CCA) Others Complex EOFs Maximum Covariance Analysis Principal Oscillation Patterns (POP) Independent Component Analysis (ISA).

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Linear Discriminant Analysis

Linear Discriminant Analysis. Linear Discriminant Analysis. Why To identify variables into one of two or more mutually exclusive and exhaustive categories. To examine whether significant differences exist among the groups in terms of the predictor variables. What

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Canonical correlations

Canonical correlations. Purpose Calculation of canonical correlations Relevance to prediction Relevance to correspondence analysis R commands. Purpose.

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Canonical Correlation simple correlation -- y 1 = x 1

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Multivariate Analysis - Introduction

Multivariate Analysis - Introduction. What is Multivariate Analysis?.

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Multivariate association analysis

Multivariate association analysis. Manuel Ferreira & Shaun Purcell. Boulder, 2009. r. Trait A. SNP. Canonical correlation. k traits. n individuals. Score = w A *A + w B *B + ... + w J *J. SNP. plink.multivariate. http://genepi.qimr.edu.au/staff/manuelF/. FILES:.

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