Multivariate normal distribution - PDFSEARCH.IO - Document Search Engine

Multivariate normal distribution
Results: 697

#	Item
391	MCMC Methods for Multi-response Generalized Linear Mixed Models: The MCMCglmm R Package Jarrod Hadfield University of Edinburgh Abstract Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:01:08 Statistical methods Covariance and correlation Econometrics Mixed model Variance Normal distribution Covariance matrix Covariance Multivariate normal distribution Statistics Data analysis Regression analysis
392	The Econometrics of Data Combination Geert Ridder Department of Economics, University of Southern California, Los Angeles E-mail: [removed] Add to Reading List Source URL: www.econ2.jhu.edu Language: English - Date: 2007-10-04 13:19:45 Statistical dependence Econometrics Covariance and correlation Errors-in-variables models Variance Normal distribution Sample Correlation and dependence Multivariate normal distribution Statistics Data analysis Probability theory
393	Journal of Machine Learning Research[removed]2259 Submitted 3/10; Revised 8/10; Published 8/10 Restricted Eigenvalue Properties for Correlated Gaussian Designs Garvesh Raskutti Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2010-09-03 17:37:06 Regression analysis Estimation theory Data analysis Multivariate normal distribution Linear regression Covariance matrix Variance Covariance Eigenvalues and eigenvectors Statistics Econometrics Probability theory
394	High-dimensional covariance estimation by minimizing 1-penalized log-determinant divergence Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2011-09-16 07:59:26 Algebra of random variables Probability theory Estimation theory Multivariate normal distribution Normal distribution Covariance matrix Maximum likelihood Matrix Covariance Statistics Covariance and correlation Data analysis
395	ISIT 2010, Austin, Texas, U.S.A., June[removed], 2010 Information-theoretic bounds on model selection for Gaussian Markov random ﬁelds Wei Wang , Martin J. Wainwright†, , and Kannan Ramchandran Department of Elect Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2011-02-12 09:26:43 Probability theory Data analysis Maximum likelihood Multivariate normal distribution Covariance matrix Normal distribution Consistent estimator Kullback–Leibler divergence Random matrix Statistics Statistical theory Estimation theory
396	Template Attacks on Different Devices Omar Choudary and Markus G. Kuhn Computer Laboratory, University of Cambridge, Cambridge, UK {omar.choudary,markus.kuhn}@cl.cam.ac.uk Abstract. Template attacks remain a most powerf Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2014-09-23 11:16:45 Information theory Randomness Multivariate normal distribution Normal distribution Entropy Principal component analysis Linear discriminant analysis Multivariate random variable Eigenvalues and eigenvectors Statistics Multivariate statistics Singular value decomposition
397	Zipf ’s law and criticality in multivariate data without fine-tuning David J. Schwab∗ Department of Physics and Lewis-Sigler Institute, Princeton University, Princeton, NJ[removed]Ilya Nemenman† Departments of Physic Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-06-19 22:31:36 Physics Ising model Entropy Normal distribution Principle of maximum entropy Maximum likelihood Statistics Probability and statistics Statistical theory
398	An Efficient Network Generation Method: Interpersonal Networks and the Distribution of Links Ben Klemens Brookings Institution, Washington Add to Reading List Source URL: ben.klemens.org Language: English - Date: 2008-01-23 16:14:23 Estimation theory Data analysis Principal component analysis Singular value decomposition Maximum likelihood Normal distribution Factor analysis Generative topographic map Types of artificial neural networks Statistics Multivariate statistics Neural networks
399	ON MULTIVARIATE t AND GAUSS PROBABILITIES IN R TORSTEN HOTHORN, FRANK BRETZ, AND ALAN GENZ Introduction The numerical computation of a multivariate normal or t probability is often a difficult problem. Recent development Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-08 07:42:28 Multivariate normal distribution Covariance matrix Variance Statistics Data analysis Normal distribution
400	New URL: http://www.R-project.org/conferences/DSC[removed]DSC 2001 Proceedings of the 2nd International Workshop on Distributed Statistical Computing March 15-17, Vienna, Austria http://www.ci.tuwien.ac.at/Conferences/DSC Add to Reading List Source URL: www.r-project.org Language: English - Date: 2014-02-10 03:02:54 Multivariate statistics Outlier Summary statistics Mahalanobis distance Ellipse Plot Normal distribution Covariance matrix Robust regression Statistics Data analysis Robust statistics

UPDATE