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Normal matrix
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271	Learning Multiple Tasks with a Sparse Matrix-Normal Penalty Yi Zhang Machine Learning Department Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-07-25 14:54:12 Linear algebra Matrix theory Multivariate normal distribution Normal distribution Matrix normal distribution Principal component analysis Covariance matrix Parametric model Determinant Statistics Algebra Data analysis
272	Indicator Matrix 5 Wastes - Vessels 4 Oil - Vessels Add to Reading List Source URL: epa.gov Language: English - Date: 2011-04-13 14:07:32 Prenex normal form X
273	Package ‘mvtnorm’ July 8, 2014 Title Multivariate Normal and t Distributions Version[removed]Date[removed]Description Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-08 07:42:28 Normal distribution Multivariate statistics Multivariate normal distribution Covariance matrix Variance Multivariate random variable CMA-ES Multivariate Student distribution Statistics Data analysis Probability theory
274	Package ‘fanovaGraph’ July 2, 2014 Type Package Title Building Kriging models from FANOVA graphs Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:49:16 Geostatistics Interpolation Kriging Multivariate interpolation Normal distribution Matrix Mathematical optimization Function Clique Mathematics Statistics Mathematical analysis
275	MASTER COURSE ARTICULATION MATRIX, AY[removed]Footnotes[removed]. Add to Reading List Source URL: regents.louisiana.gov Language: English - Date: 2014-07-17 11:11:26
276	Penalized least squares versus generalized least squares representations of linear mixed models Douglas Bates Department of Statistics University of Wisconsin – Madison June 20, 2014 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-19 13:51:41 Matrices Statistical theory Numerical linear algebra Maximum likelihood Multivariate normal distribution Covariance matrix Cholesky decomposition Generalized least squares Fisher information Statistics Estimation theory Regression analysis
277	Fitting Linear Mixed-Effects Models using lme4 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-19 13:51:40 Data analysis Analysis of variance Covariance and correlation Mixed model Linear regression Matrix Multivariate normal distribution Covariance matrix Fixed effects model Statistics Regression analysis Estimation theory
278	Package ‘gtable’ July 2, 2014 Type Package Title Arrange grobs in tables. Version 0.1.2 Author Hadley Wickham Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 12:05:53 Linear algebra Abstract algebra Euclidean vector Null C Vector Normal Matrix Algebra Mathematics Vector calculus
279	Approximate Inference in Gaussian Graphical Models by Dmitry M. Malioutov Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:31 Probability and statistics Probability theory Matrices Belief propagation Coding theory Matrix Normal distribution Covariance matrix Gaussian function Statistics Graphical models Mathematics
280	robustlmm: Robust Estimating Equations and Examples Manuel Koller Seminar f¨ ur Statistik, ETH Z¨ urich and Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-11 06:14:16 Estimation theory Econometrics Parametric statistics Normal distribution Linear regression Symbol Variance Covariance matrix Random effects model Statistics Data analysis Regression analysis

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