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Multivariate normal distribution
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251	FINM6900 Finance Theory How Is Asymmetric Information Reflected in Asset Prices? February 3, 2012 Add to Reading List Source URL: teach.business.uq.edu.au Language: English - Date: 2015-02-05 20:01:52 Probability theory Statistical theory Normal distribution Multivariate normal distribution Independence Correlation and dependence Sufficient statistic Statistics Statistical dependence Probability and statistics
252	Discriminative Decorrelation for Clustering and Classification? Bharath Hariharan1 , Jitendra Malik1 , and Deva Ramanan2 1 Univerisity of California at Berkeley, Berkeley, CA, USA Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-07-31 09:01:30 Data analysis Computer vision Machine learning Linear classifier Linear discriminant analysis Principal component analysis Whitening transformation Support vector machine Normal distribution Statistics Multivariate statistics Statistical classification
253	Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison Jonah E. Bernhard,1 Peter W. Marcy,2 Christopher E. Coleman-Smith,1 Snehalata Huzurbazar,3 Robert L. Wolpert,4 and Steffen A. Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-02-02 20:38:09 Normal distribution Covariance matrix Multivariate normal distribution Mathematical model Parameter Standard deviation Random variable Statistics Data analysis Summary statistics
254	Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information Tinghui Zhou∗ Hanhuai Shan∗ Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-11-17 20:32:45 Matrices Matrix theory Numerical linear algebra Singular value decomposition Matrix Adjacency matrix Determinant Multivariate normal distribution Kernel Algebra Linear algebra Mathematics
255	CS 294-2, Grouping and Recognition (Prof. Jitendra Malik) Sept 1st, 1999 Lecture #4 (Expectation Maximization Algorithm) DRAFT Notes by Rene Vidal Mixture models with incomplete data Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2003-07-25 14:54:43 Statistical theory Expectation–maximization algorithm Missing data Normal distribution Mixture model Maximum likelihood Multivariate normal distribution Statistics Estimation theory Cluster analysis
256	Gradient of Mutual Information in Linear Vector Gaussian Channels Daniel P. Palomar and Sergio Verd´u Dept. of Electrical Engineering Princeton University Engineering Quadrangle, Princeton, NJ 08544, USA Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2006-02-03 09:25:48 Signal processing Information theory Minimum mean square error Covariance matrix Covariance Fisher information Matrix Orthogonality principle Multivariate normal distribution Statistics Estimation theory Covariance and correlation
257	Tina Memo No[removed]Internal Report Products and Convolutions of Gaussian Probability Density Functions P.A. Bromiley Add to Reading List Source URL: www.tina-vision.net Language: English - Date: 2015-03-03 20:07:01 Fourier analysis Gaussian function Stochastic processes Image processing Normal distribution Multivariate normal distribution Fourier transform Convolution Gaussian process Mathematical analysis Mathematics Statistics
258	Package ‘changepoint’ February 19, 2015 Type Package Title An R package for changepoint analysis Version[removed]Date[removed] Add to Reading List Source URL: cran.fhcrc.org Language: English - Date: 2015-02-19 17:16:47 Operations research Image processing Segmentation Normal distribution Variance Mathematical optimization Cluster analysis Statistics Data analysis Multivariate statistics
259	Proc. Indian Acad. Sci. (Math. Sci.) Vol. 119, No. 4, September 2009, pp. 531–539. © Printed in India Entropy maximization K B ATHREYA Department of Mathematics and Statistics, Iowa State University, USA Add to Reading List Source URL: eprints.iisc.ernet.in Language: English - Date: 2010-09-19 01:52:36 Multivariate normal distribution Measure theory Symbol Spectral theory of ordinary differential equations Mathematical analysis Statistics Normal distribution
260	COPULAS: TALES AND FACTS† THOMAS MIKOSCH “But he does not wear any clothes” said the little child in Hans Christian Andersen’s “The Emperor’s New Clothes”. 1. Some preliminary facts When I started writing t Add to Reading List Source URL: www.math.ku.dk Language: English - Date: 2005-12-14 11:03:47 Statistical dependence Multivariate statistics Covariance and correlation Actuarial science Copula Comonotonicity Multivariate normal distribution Normal distribution Joint probability distribution Statistics Probability theory Probability and statistics

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