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Covariance and correlation
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131	800 TRANSACTIONS COMMUNICATIONS, IEEE ON Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2003-07-08 17:06:47 Covariance and correlation Mathematical analysis Signal processing Statistics Time series analysis Probability Autocorrelation Correlation and dependence Maximum length sequence Correlation function Cross-correlation Sequence
132	The Bivariate Normal Distribution This is Section 4.7 of the 1st editionof the book Introduction to Probability, by D. P. Bertsekas and J. N. Tsitsiklis. The material in this section was not included in the 2nd e Add to Reading List Source URL: athenasc.com Language: English - Date: 2008-07-28 11:00:50 Statistics Probability Mathematical analysis Covariance and correlation Covariance Correlation and dependence Uncorrelated random variables Variance Normal distribution Multivariate normal distribution Conditioning Conditional probability distribution
133	Measuring Inequality of Opportunity with Latent Variables Florian Wendelspiess Chávez Juárez (University of Geneva, Switzerland) Paper Prepared for the IARIW-IBGE Conference on Income, Wealth and Well-Being in Latin A Add to Reading List Source URL: www.iariw.org Language: English - Date: 2013-09-04 16:20:17 Statistics Probability theory Estimation theory Covariance and correlation Regression analysis Algebra of random variables Covariance Variance Correlation and dependence Expected value Ordinary least squares Factor analysis
134	Calibration by correlation using metric embedding from non-metric similarities Appendix B: complete statistics and visualization F Add to Reading List Source URL: rpg.ifi.uzh.ch Language: English - Date: 2014-10-05 18:45:16 Covariance and correlation Independence Corr
135	CreditRisk + Model with Dependent Risk Factors Ruodu Wang∗, Liang Peng† and Jingping Yang‡ October 6, 2014 Abstract The CreditRisk + model is widely used in industry for computing the loss of a credit portfolio. Th Add to Reading List Source URL: sas.uwaterloo.ca Language: English - Date: 2014-10-06 11:54:54 Actuarial science Statistics Independence Probability Covariance and correlation Mathematical analysis Multivariate statistics Copula Financial risk Variance Risk Comonotonicity
136	Journal of EMPIRICAL ELSEVIER Journal of Empirical Finance Add to Reading List Source URL: www.ssc.wisc.edu Language: English Statistics Probability Mathematical finance Covariance and correlation Probability distributions Stable distributions Statistical tests Covariance Heteroscedasticity Variance Normal distribution Portfolio optimization
137	IEEE TRANSACTIONS ON INFORMATION 128 c J(Wi- w/&(w) = J(w - Wk), Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2003-07-08 17:06:56 Signal processing Regression analysis Empirical process Autocorrelation Covariance and correlation Time series analysis Vladimir Vapnik GlivenkoCantelli theorem
138	Jackknife Empirical Likelihood Test for Equality of Two High Dimensional Means Ruodu Wang1 , Liang Peng1 and Yongcheng Qi2 Abstract It has been a long history to test the equality of two multivariate means. One popular t Add to Reading List Source URL: sas.uwaterloo.ca Language: English - Date: 2012-08-22 16:13:40 Covariance and correlation Probability distributions Stable distributions Algebra of random variables Covariance Multivariate normal distribution Estimation of covariance matrices Normal distribution Multiplier
139	A Class of Multivariate Copulas with Bivariate Fr´ echet Marginal Copulas Jingping Yang∗ Yongcheng Qi† Add to Reading List Source URL: sas.uwaterloo.ca Language: English - Date: 2009-04-30 02:57:14 Independence Covariance and correlation Actuarial science Multivariate statistics Copula U1 Comonotonicity Correlation and dependence Joint probability distribution
140	Toward Estimating the Rank Correlation between the Test Collection Results and the True System Performance Julián Urbano Mónica Marrero Add to Reading List Source URL: julian-urbano.info Language: English - Date: 2016-06-09 21:08:54 Estimation theory Statistical theory Statistical inference Covariance and correlation Signal processing Estimator Bias of an estimator L-estimator Maximum likelihood estimation Correlation and dependence Efficiency Standard deviation

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