Covariance matrix - PDFSEARCH.IO - Document Search Engine

Covariance matrix
Results: 494

#	Item
381	C:/Users/sang/Documents/Jun/MultiPIC_SangJunV8_mj_tex/AOAS-SJH-figures/SJH_AOAS_R2-final-mj.dvi Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2011-06-20 14:22:44 Econometrics Geostatistics Algebra of random variables Linear regression Covariance matrix Kriging Covariance function Maximum likelihood Regression analysis Statistics Covariance and correlation Estimation theory
382	Paper[removed]Using Copulas to Model Dependency Structures in Econometrics Donald J. Erdman, Arthur Sinko, SAS Institute Inc., Cary NC ABSTRACT Add to Reading List Source URL: support.sas.com Language: English - Date: 2008-03-13 14:05:16 Actuarial science Copula Correlation and dependence Multivariate normal distribution Probability distribution Joint probability distribution Normal distribution Covariance matrix Financial Correlations Statistics Statistical dependence Covariance and correlation
383	Inferring Latent Structure From Mixed Real and Categorical Relational Data Esther Salazar1 [removed] Matthew S. Cain2 [removed] Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:16 Matrices Data analysis Multivariate statistics Linear algebra Matrix Multivariate normal distribution Covariance matrix Covariance Factor analysis Statistics Algebra Covariance and correlation
384	Residual Component Analysis: Generalising PCA for more flexible inference in linear-Gaussian models Alfredo A. Kalaitzis [removed] Neil D. Lawrence [removed] Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:54 Data analysis Singular value decomposition Linear algebra Matrix theory Covariance and correlation Covariance matrix Principal component analysis Normal distribution Eigenvalues and eigenvectors Statistics Algebra Mathematics
385	Estimating Sparse Precision Matrices from Data with Missing Values Mladen Kolar [removed] Eric P. Xing [removed] Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:48 Covariance and correlation Summary statistics Matrices Estimation of covariance matrices Covariance matrix Linear regression Normal distribution Multivariate normal distribution Maximum likelihood Statistics Data analysis Estimation theory
386	Adaptive Regularization for Weight Matrices Koby Crammer Department of Electrical Engineering, Technion, Haifa 32000, Israel Gal Chechik The Gonda Brain Research Center, Bar Ilan University, and Google research Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:44 Matrix theory Singular value decomposition Matrices Data analysis Matrix Eigenvalues and eigenvectors Normal distribution Covariance matrix Eigenvalue algorithm Algebra Linear algebra Mathematics
387	Quasi-Newton Methods: A New Direction Philipp Hennig [removed] Martin Kiefel [removed] Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:50 Covariance and correlation Geostatistics Quasi-Newton method Limited-memory BFGS BFGS method SR1 formula Hessian matrix Covariance Mathematical optimization Statistics Numerical analysis Mathematical analysis
388	Microsoft Word - BCSpillovers_wo pw.docx Add to Reading List Source URL: www.eabcn.org Language: English - Date: 2014-07-17 06:45:27 Data analysis Probability theory Variance Cholesky decomposition Vector autoregression Normal distribution Autoregressive conditional heteroskedasticity Unit root Covariance matrix Statistics Econometrics Time series analysis
389	Effective Linear Discriminant Analysis for High Dimensional, Low Sample Size Data Zhihua Qiao,∗ Lan Zhou† and Jianhua Z. Huang‡ Abstract— In the so-called high dimensional, low sample size (HDLSS) settings, LDA p Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2008-02-29 23:01:57 Data analysis Singular value decomposition Linear discriminant analysis Principal component analysis Eigenvalues and eigenvectors Covariance matrix Support vector machine Linear regression Variance Statistics Multivariate statistics Statistical classification
390	IAENG International Journal of Applied Mathematics, 39:1, IJAM_39_1_06 ______________________________________________________________________________________ Sparse Linear Discriminant Analysis with Applications to High Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2009-02-17 12:13:25 Statistical classification Singular value decomposition Data analysis Regression analysis Linear discriminant analysis Principal component analysis Eigenvalues and eigenvectors Covariance matrix Multivariate normal distribution Statistics Algebra Multivariate statistics

UPDATE