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Normal matrix
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#	Item
291	Microsoft Word - M30P-PJ-2006-Feb_Biathlon-TchNotes.doc Add to Reading List Source URL: education.alberta.ca Language: English - Date: 2007-11-15 17:31:18 Analytic geometry Birational geometry Conic section Normal distribution Permutation Calculator Graphing calculator Symmetry in mathematics Matrix Geometry Mathematics Office equipment
292	A Cautionary Note on Generalized Linear Models for Covariance of Unbalanced Longitudinal Data Jianhua Z. Huanga , Min Chenb , Mehdi Maadooliata , Mohsen Pourahmadia a Department of Statistics, Texas A&M University. Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2011-09-09 09:06:04 Numerical linear algebra Least squares Estimation theory Covariance matrix Cholesky decomposition Normal distribution Multivariate normal distribution Variance Generalized least squares Statistics Regression analysis Data analysis
293	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
294	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
295	Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis Zenglin Xu, Feng Yan {XU 218, YAN 12}@ PURDUE . EDU Department of Computer Science, Purdue University, West Lafayette, IN[removed]USA Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:16 Singular value decomposition Matrix theory Bayesian statistics Estimation theory Principal component analysis Normal distribution Eigenvalues and eigenvectors Tensor product Higher-order singular value decomposition Algebra Linear algebra Mathematics
296	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
297	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
298	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
299	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
300	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

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