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Covariance matrix
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151	Supplement Figure S1. Vertical profiles of the square roots of the diagonal elements of the covariance matrices C for different latitude bins in the southern (left) and northern (right) hemispheres. These quantities are Add to Reading List Source URL: www.atmos-meas-tech.net Language: English - Date: 2014-12-03 11:49:56 Covariance and correlation Data analysis Singular value decomposition Matrices Summary statistics Ozone depletion Correlation and dependence Eigenvalues and eigenvectors Covariance matrix Algebra Statistics Mathematics
152	A multivariate generalization of Costa’s entropy power inequality Miquel Payar´o and Daniel P. Palomar Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay Add to Reading List Source URL: www.ece.ust.hk Language: English - Date: 2008-04-28 23:13:38 Information theory Matrices Algebra of random variables Randomness Covariance and correlation Multivariate random variable Matrix Positive-definite matrix Hessian matrix Statistics Algebra Mathematics
153	Submitted to the Annals of Applied Probability HIGH DIMENSIONAL SPARSE COVARIANCE ESTIMATION: ACCURATE THRESHOLDS FOR THE MAXIMAL DIAGONAL ENTRY AND FOR THE LARGEST CORRELATION COEFFICIENT By Aharon Birnbaum∗ and Boaz Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2012-03-09 01:43:19 Multivariate normal distribution Gumbel distribution Chi-squared distribution Covariance matrix Pearson product-moment correlation coefficient Covariance Correlation and dependence Partial correlation Maximum likelihood Statistics Covariance and correlation Normal distribution
154	Determining the number of components in a factor model from limited noisy data Shira Kritchman and Boaz Nadler1 Department of Computer Science and Applied Mathematics Weizmann Institute of Science, P.O.Box 26, Rehovot 76 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2008-06-03 18:16:22 Data analysis Covariance and correlation Singular value decomposition Mathematical physics Summary statistics Multivariate normal distribution Principal component analysis Eigenvalues and eigenvectors Covariance matrix Statistics Algebra Mathematics
155	DO SEMIDEFINITE RELAXATIONS REALLY SOLVE SPARSE PCA? arXiv:1306.3690v1 [math.ST] 16 JunBy Robert Krauthgamer Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-06-17 20:40:45 Data analysis Singular value decomposition Matrices Covariance and correlation Linear algebra Principal component analysis Multivariate normal distribution Covariance matrix Eigenvalues and eigenvectors Statistics Algebra Mathematics
156	Biochem. J, Printed in Great Britain) Add to Reading List Source URL: bip.cnrs-mrs.fr Language: English - Date: 2014-08-12 07:20:37 Covariance and correlation Mathematical and theoretical biology Metabolic control analysis Metabolism Systems biology Correlation and dependence Propagation of uncertainty Coefficient Matrix Statistics Mathematics Regression analysis
157	A Tutorial on Principal Component Analysis Jonathon Shlens∗ Google Research Mountain View, CA 94043 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-04-06 20:15:01 Matrices Matrix theory Singular value decomposition Multivariate statistics Principal component analysis Eigenvalues and eigenvectors Covariance matrix Kernel principal component analysis Diagonalizable matrix Algebra Linear algebra Mathematics
158	Efficient Stochastic Methods: Profiled Attacks Beyond 8 Bits Omar Choudary and Markus G. Kuhn Computer Laboratory, University of Cambridge Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2014-10-27 10:40:36 Multivariate statistics Singular value decomposition Data analysis Matrix theory Principal component analysis Linear discriminant analysis Eigenvalues and eigenvectors Multivariate normal distribution Covariance matrix Statistics Algebra Linear algebra
159	1 On MMSE Crossing Properties and Implications in Parallel Vector Gaussian Channels Ronit Bustin Student Member, IEEE, Miquel Payar´o Member, IEEE, Daniel P. Palomar Senior Member, IEEE, and Shlomo Shamai (Shitz) Fello Add to Reading List Source URL: www.ece.ust.hk Language: English - Date: 2012-10-14 03:07:50 Covariance and correlation Algebra of random variables Data analysis Multivariate statistics Estimation theory Normal distribution Covariance matrix Covariance Minimum mean square error Statistics Mathematics Algebra
160	egu_logo_without_circle_grey Add to Reading List Source URL: www.geosci-model-dev.net Language: English - Date: 2014-12-04 04:16:05 Matrices Matrix theory Covariance and correlation Numerical linear algebra Matrix Block matrix Covariance Kronecker product Symmetric matrix Algebra Linear algebra Mathematics

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