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Covariance matrix
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141	Subjective Bayesian analysis of the elliptical model J. van Niekerk1 , A. Bekker, M. Arashi and J.J.J. Roux Department of Statistics, Faculty of Natural and Agricultural Science, University of Pretoria, Pretoria, South A Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:12 Conjugate prior Statistical theory Normal distribution Elliptical distribution Multivariate normal distribution Probability distribution Estimation theory Covariance matrix Univariate Statistics Bayesian statistics Wishart distribution
142	egu_logo_without_circle_grey Add to Reading List Source URL: www.atmos-meas-tech.net Language: English - Date: 2014-12-03 11:47:06 Inverse problems Remote sensing Optimal estimation Covariance matrix Variance Covariance Spectroscopy Statistics Covariance and correlation Data analysis
143	Assimilation of Radio Occultation Data at DWD Andreas Rhodin Deutscher Wetterdienst, Offenbach, Germany Add to Reading List Source URL: www.romsaf.org Language: English - Date: 2011-11-16 09:25:59 Estimation theory Bayesian statistics Data assimilation Statistical forecasting Weather prediction Radio occultation Cholesky decomposition Covariance matrix Matrix Statistics Mathematics Control theory
144	A Correlated Sampling Method for Multivariate Normal and Log-normal Distributions ˇ Gaˇsper Zerovnik, Andrej Trkov, Ivan A. Kodeli Joˇzef Stefan Institute Add to Reading List Source URL: www.djs.si Language: English - Date: 2012-07-16 15:38:16 Multivariate normal distribution Bayesian statistics Log-normal distribution Variance Probability distribution Covariance matrix Maximum likelihood CMA-ES Statistics Normal distribution Data analysis
145	The CMA Evolution Strategy: A Tutorial Nikolaus Hansen June 28, 2011 Contents Nomenclature Add to Reading List Source URL: www.lri.fr Language: English - Date: 2011-06-28 09:01:03 Matrices Matrix theory Covariance and correlation Data analysis CMA-ES Multivariate normal distribution Covariance matrix Eigenvalues and eigenvectors Symmetric matrix Algebra Linear algebra Mathematics
146	g02 – Correlation and Regression Analysis g02byc NAG C Library Function Document nag_partial_corr (g02byc) Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Partial correlation Covariance Pearson product-moment correlation coefficient Variance Linear regression Regression analysis Matrix Statistics Covariance and correlation Correlation and dependence
147	Large Scale Canonical Correlation Analysis with Iterative Least Squares Yichao Lu University of Pennsylvania Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-11-26 16:30:39 Numerical linear algebra Multivariate statistics Covariance and correlation Singular value decomposition Principal component analysis Matrix QR decomposition Eigenvalues and eigenvectors Canonical correlation Algebra Linear algebra Mathematics
148	Astronomy & Astrophysics A&A 540, L6DOI: Add to Reading List Source URL: www.aanda.org Language: English Matrices Covariance and correlation Data analysis Time series analysis Estimation theory Cosmic microwave background radiation White noise Covariance matrix Matrix Statistics Algebra Linear algebra
149	[Bhiksha Raj and Richard M. Stern] [Improving recognition accuracy in noise by using partial spectrographic ] Add to Reading List Source URL: wiki.inf.ed.ac.uk Language: English - Date: 2009-05-12 13:23:56 Noise Algebra of random variables Covariance and correlation Time series analysis Signal processing White noise Spectral density Multivariate random variable Covariance matrix Statistics Algebra Mathematics
150	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

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