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Multivariate analysis of covariance
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#	Item
111	Exploiting Sparse Markov and Covariance Structure in Multiresolution Models Myung Jin Choi MYUNGJIN @ MIT. EDU Venkat Chandrasekaran VENKATC @ MIT. EDU Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-05 20:50:41 Covariance and correlation Algebra of random variables Graphical models Covariance matrix Markov random field Multivariate normal distribution Sparse matrix Matrix Normal distribution Statistics Probability theory Data analysis
112	Brownian distance covariance Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-08-27 17:53:41 Statistical dependence Data analysis Algebra of random variables Distance correlation Covariance Multivariate normal distribution Pearson product-moment correlation coefficient Multivariate random variable Correlation and dependence Statistics Covariance and correlation Multivariate statistics
113	Proc. of IEEE 3rd Intl. Conf. on Biometrics: Theory, Applications and Systems (BTAS 09), Washington DC, September[removed]Biometric Fusion: Does Modeling Correlation Really Matter? Karthik Nandakumar, Arun Ross and Anil K. Add to Reading List Source URL: clarkson.edu Language: English - Date: 2013-03-22 14:25:36 Covariance and correlation Biometrics Fingerprint Verification Competition Fingerprints Normal distribution Multivariate normal distribution Correlation and dependence The Rat Statistics Security Mathematical analysis
114	Package ‘corpcor’ September 29, 2014 Version[removed]Date[removed]Title Efficient Estimation of Covariance and (Partial) Correlation Author Juliane Sch\{}``afer, Rainer OpgenRhein, Verena Zuber, Miika Ahdesm\{}''aki Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-29 12:30:16 Covariance and correlation Matrices Singular value decomposition Matrix theory Data analysis Covariance matrix Multivariate normal distribution Correlation and dependence Variance Algebra Linear algebra Mathematics
115	Some Geostatistical Concepts for Interoperability Phaedon C. Kyriakidis Department of Geography University of California Santa Barbara Add to Reading List Source URL: www.ncgia.ucsb.edu Language: English - Date: 2005-05-24 19:43:22 Algebra of random variables Covariance function Spatial data analysis Covariance Multivariate statistics Kalman filter Multivariate random variable Statistics Covariance and correlation Geostatistics
116	Advanced Data Analysis –Using SPSS Training Course Advanced Data Analysis- Using SPSS Course Language Add to Reading List Source URL: www.qu.edu.qa Language: English - Date: 2014-02-22 15:36:52 Econometrics Analysis of variance Psychometrics SPSS Analysis of covariance General linear model Factor analysis Two-way analysis of variance Linear regression Statistics Regression analysis Multivariate statistics
117	Sparse PCA: Concepts, Theory, and Algorithms Jing Lei, Department of Statistics, CMU U. Pitt. Biostat Department Seminar, Nov 7, 2013 Collaborators Vince Q. Vu, Stat. Dept. OSU Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-01-10 12:18:09 Multivariate statistics Singular value decomposition Data analysis Covariance and correlation Matrices Principal component analysis Covariance matrix Eigenvalues and eigenvectors Matrix Statistics Algebra Linear algebra
118	Clinical Trial Research News From the Office of Clinical Research Volume 13, Issue 2 April 2011 Add to Reading List Source URL: www.sbrc.ca Language: English - Date: 2011-09-07 19:02:30 Statistical tests Hypothesis testing Pharmaceutical industry One-way ANOVA Analysis of covariance F-test Multivariate analysis of variance Effect size Statistical power Statistics Analysis of variance Design of experiments
119	Learning Compressed Sensing 1 Yair Weiss1,2 Hebrew University of Jerusalem [removed] Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2007-10-15 16:26:27 Data analysis Time series analysis Principal component analysis Singular value decomposition Independent component analysis Projection Covariance matrix Statistical signal processing Degrees of freedom Statistics Signal processing Multivariate statistics
120	Estimating Sparse Principal Components and Subspaces Jing Lei Department of Statistics, CMU Joint work with V. Q. Vu (OSU), J. Cho, and K. Rohe (U. of Wisc.) Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-01-10 12:18:10 Singular value decomposition Data analysis Multivariate statistics Matrix theory Principal component analysis Eigenvalues and eigenvectors Covariance matrix Matrix Projection Algebra Statistics Linear algebra

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