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Multivariate normal distribution
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21	Bayes Optimal Kernel Discriminant Analysis Di You and Aleix M. Martinez Department of Electrical and Computer Engineering The Ohio State University, Columbus, OH 43210, USA Add to Reading List Source URL: www2.ece.ohio-state.edu Language: English - Date: 2010-07-14 17:50:30 Multivariate statistics Statistical classification Linear discriminant analysis Kernel method Kernel Fisher discriminant analysis Normal distribution K-nearest neighbors algorithm Distribution Kernel
22	Affine invariant analysis of multivariate shape variation, with an example from human craniofacial growth Philipp Mitteroecker Department of Theoretical Biology, University of Vienna While the variation of observations a Add to Reading List Source URL: theoretical.univie.ac.at Language: English - Date: 2015-07-12 11:12:09 Probability distributions Stable distributions Covariance and correlation Multivariate statistics Eigenvalues and eigenvectors Linear algebra Principal component analysis Multivariate normal distribution Covariance matrix Variance Morphometrics Invariant
23	Measuring correlation risk Roza Galeeva, Jiri Hoogland, Alexander Eydeland CMG, Morgan Stanley January 11, 2007 Contents Add to Reading List Source URL: www.bbk.ac.uk Language: English - Date: 2007-03-27 13:47:21 Covariance and correlation Correlation and dependence Cholesky decomposition Multivariate normal distribution Covariance Eigenvalues and eigenvectors Matrix Bootstrapping Pearson product-moment correlation coefficient Partial correlation
24	Scientific contributions with PhD students St´ephane Girard Inria Rhˆ one-Alpes & LJK (team MISTIS). 655, avenue de l’Europe, MontbonnotSaint-Ismier Cedex, France Add to Reading List Source URL: mistis.inrialpes.fr Language: English - Date: 2016-05-04 05:59:46 Actuarial science Estimation theory Multivariate statistics Independence Machine learning Copula Heavy-tailed distribution Mixture model Normal distribution Quantile Regression analysis Maximum likelihood estimation
25	Research Technical Note Monte Carlo Simulation using the Benson-Zangari Approach March 14, 2013 Keywords: Monte Carlo Simulation, Monte Carlo error, MC VaR stability, drifts in RM. Add to Reading List Source URL: www.msci.com Language: English - Date: 2013-03-21 20:38:59 Probability distributions Actuarial science Financial risk RiskMetrics Probability theory Standard deviation Multivariate random variable Log-normal distribution Distribution
26	Bulletin of the Seismological Society of America, Vol. 97, No. 6, pp. 1890–1910, December 2007, doi: Real-Time Estimation of Fault Rupture Extent Using Near-Source versus Far-Source Classification b Add to Reading List Source URL: www.eqh.dpri.kyoto-u.ac.jp Language: English - Date: 2009-05-21 20:56:26 Statistical classification Multivariate statistics Estimation theory Probability distributions Bayesian statistics Linear discriminant analysis Discriminant function analysis Seismometer Normal distribution Likelihood function Mode Earthquake
27	Learning in a multilateral bargaining experiment Add to Reading List Source URL: cess.nyu.edu Language: English - Date: 2009-09-28 07:26:54 Estimation theory Probability distributions Stable distributions Statistical theory Normal distribution Efficient estimator Parameter Estimator Statistics Expected value Covariance Multivariate normal distribution
28	CUR Factorization via Discrete Empirical Interpolation Dan Sorensen Rice University Mark Embree Add to Reading List Source URL: mmds-data.org Language: English - Date: 2014-06-19 18:56:04 Linear algebra Functional analysis Numerical linear algebra Operator theory Multivariate statistics Singular value decomposition Principal component analysis Linear subspace Rank Multivariate normal distribution Singular value Distribution
29	Christiano FINC 520, Spring 2008 Homework 6, due Thursday, MayConsider the iid Normal stochastic process, {xt } , with Ext = μ and E (xt − μ)2 = σ 2 . Let μl = E (xt − μ)l denote the lth moment about the Add to Reading List Source URL: faculty.wcas.northwestern.edu Language: English - Date: 2008-05-17 12:29:25 Probability distributions Normal distribution Statistical theory Estimation theory Econometrics Bootstrapping T-statistic Generalized method of moments Sampling distribution Skewness Multivariate normal distribution Errors and residuals
30	Expectations of linear functions with respect to truncated multinormal distributions, with applications for uncertainty analysis in environmental modelling Jason J. Sharples and John C.V. Pezzey Australian National Unive Add to Reading List Source URL: een.anu.edu.au Language: English - Date: 2005-05-09 04:54:58 Probability distributions Stable distributions Normal distribution Expected value Multivariate normal distribution Moment-generating function Truncated distribution Distribution Variance