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Normal matrix
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231	1012 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 3, MARCH 2010 Gaussian Multiresolution Models: Exploiting Sparse Markov and Covariance Structure Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-05 20:49:43 Statistical models Probability theory Networks Markov random field Covariance matrix Sparse matrix Matrix Multivariate normal distribution Conjugate prior Statistics Bayesian statistics Graphical models
232	Exploiting Sparse Markov and Covariance Structure in Multiresolution Models Myung Jin Choi MYUNGJIN @ MIT. EDU Venkat Chandrasekaran VENKATC @ MIT. EDU Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-05 20:50:41 Covariance and correlation Algebra of random variables Graphical models Covariance matrix Markov random field Multivariate normal distribution Sparse matrix Matrix Normal distribution Statistics Probability theory Data analysis
233	– 1– D0 –D 0 MIXING Revised May 2014 by D. M. Asner (Pacific Northwest National Laboratory) The detailed formalism for D0 − D 0 mixing is presented in the note on “CP Violation in Meson Decays” in this Review Add to Reading List Source URL: pdg.lbl.gov Language: English - Date: 2014-08-21 16:37:53 CLEO Cabibbo–Kobayashi–Maskawa matrix CP violation LHCb Normal distribution Physics Particle physics Particle detectors
234	– 1– ± 0 FORM FACTORS Kℓ3 AND Kℓ3 Add to Reading List Source URL: pdg.lbl.gov Language: English - Date: 2014-08-21 16:38:25 Mathematics Normal distribution Parameter Matrix
235	PIMS Distinguished Lecture Series Roger Horn University of Utah April 27, 2009 2:00 p.m. Add to Reading List Source URL: www.uregina.ca Language: English - Date: 2014-03-12 16:17:21 Matrices Matrix theory Matrix Similar matrix Positive semidefinite Nilpotent Jordan normal form Canonical form Equivalence relation Algebra Mathematics Linear algebra
236	Derivation of an EM algorithm for constrained and unconstrained multivariate autoregressive state-space (MARSS) models Elizabeth Eli Holmes∗ March 19, 2014 Abstract Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:00:15 Expectation–maximization algorithm Maximum likelihood Multivariate normal distribution Normal distribution Matrix calculus Differential equation Kalman filter Heat equation M-estimator Statistics Mathematics Estimation theory
237	P1: STR/JHR P2: STR/PMR/ASH International Journal of Computer Vision Add to Reading List Source URL: web.mit.edu Language: English - Date: 2002-06-05 14:14:00 Differential geometry Normal distribution Darboux frame Transformation matrix Ellipse Affine transformation Fourier transform Geometry Mathematical analysis Transformation
238	Package ‘corpcor’ September 29, 2014 Version[removed]Date[removed]Title Efficient Estimation of Covariance and (Partial) Correlation Author Juliane Sch\{}``afer, Rainer OpgenRhein, Verena Zuber, Miika Ahdesm\{}''aki Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-29 12:30:16 Covariance and correlation Matrices Singular value decomposition Matrix theory Data analysis Covariance matrix Multivariate normal distribution Correlation and dependence Variance Algebra Linear algebra Mathematics
239	Towards Large Scale Continuous EDA: A Random Matrix Theory Perspective Ata Kabán Jakramate Bootkrajang Add to Reading List Source URL: www.cms.waikato.ac.nz Language: English - Date: 2013-10-14 21:02:03 Covariance and correlation Data analysis Normal distribution Evolutionary algorithms Summary statistics Multivariate normal distribution Covariance CMA-ES Variance Statistics Algebra Mathematics
240	Package ‘bayesm’ July 2, 2014 Version 2.2-5 Date 2012-05-15 Title Bayesian Inference for Marketing/Micro-econometrics Author Peter Rossi . Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:18:41 Linear regression Instrumental variable Dummy variable Multivariate normal distribution Mixture model Binomial regression Design matrix Multinomial logit Statistics Regression analysis Econometrics

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