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Estimation of covariance matrices
Results: 56

#	Item
21	International Workshop on Nuclear Data Covariances April 28 – May 1, 2014 Santa Fe, New Mexico, USA First Circular This is the first announcement of the “International Workshop on Nuclear Data Covariances” Add to Reading List Source URL: t2.lanl.gov Language: English - Date: 2015-01-23 15:12:01 Covariance Los Alamos National Laboratory Estimation of covariance matrices Nuclear data Nuclear fuel cycle Santa Fe New Mexico New Mexico Nuclear technology Nuclear physics
22	Identification and estimation of non-Gaussian structural vector autoregressions Markku Lanne, Mika Meitz and Pentti Saikkonen CREATES Research PaperDepartment of Economics and Business Add to Reading List Source URL: pure.au.dk Language: English - Date: 2015-04-13 04:15:00 Econometrics Matrices Linear algebra Time series analysis Vector autoregression Multivariate normal distribution Covariance matrix Normal distribution Matrix Statistics Algebra Multivariate statistics
23	1 lostr.tex, [removed]COMMENTARY ON TWO ARTICLES BY C. A. LOS E. T. Jaynes Wayman Crow Professor of Physics Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:34 Estimation theory Data analysis Singular value decomposition Matrices Principal component analysis Least squares Covariance matrix Orthogonal matrix Maximum likelihood Statistics Algebra Regression analysis
24	Ann Inst Stat Math[removed]:359–373 DOI[removed]s10463[removed]On generalized expectation-based estimation of a population spectral distribution from high-dimensional data Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2015-03-19 01:33:54 Statistical inference Data analysis Matrices Summary statistics Estimator Eigenvalues and eigenvectors Covariance matrix Sample mean and sample covariance Variance Statistics Algebra Estimation theory
25	Ann Inst Stat Math[removed]:211–227 DOI[removed]s10463[removed]z An empirical estimator for the sparsity of a large covariance matrix under multivariate normal assumptions Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2015-03-19 01:33:53 Estimation theory Statistical inference Econometrics Multivariate normal distribution Covariance matrix Covariance Estimator Variance Estimation of covariance matrices Statistics Data analysis Covariance and correlation
26	Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation Author(s): Donald W. K. Andrews Reviewed work(s): Source: Econometrica, Vol. 59, No. 3 (May, 1991), pp[removed]Published by: The Econometric Add to Reading List Source URL: teach.business.uq.edu.au Language: English - Date: 2015-02-05 22:25:17 Signal processing Kernel density estimation Kernel Normal distribution Estimation of covariance matrices Variance Statistics Non-parametric statistics Estimation theory
27	CS 294-2, Grouping and Recognition (Prof. Jitendra Malik) Aug 30, 1999 Lecture #3 (Maximum likelihood framework) DRAFT Notes by Joshua Levy Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2003-07-25 14:52:15 Normal distribution Expectation–maximization algorithm Estimator Likelihood function M-estimator Estimation of covariance matrices Statistics Estimation theory Maximum likelihood
28	In: Paparoditis N., Pierrot-Deseilligny M., Mallet C., Tournaire O. (Eds), IAPRS, Vol. XXXVIII, Part 3A – Saint-Mandé, France, September 1-3, 2010 OPTIMAL VANISHING POINT DETECTION AND ROTATION ESTIMATION OF SINGLE I Add to Reading List Source URL: www.isprs.org Language: English - Date: 2012-10-18 14:35:47 Linear algebra Matrices Covariance and correlation Projective geometry Perspective projection Covariance Homogeneous coordinates Rotation matrix Rank Geometry Algebra Mathematics
29	Elementary Estimators for Sparse Covariance Matrices and other Structured Moments Eunho Yang Department of Computer Science, The University of Texas, Austin, TX 78712, USA EUNHO @ CS . UTEXAS . EDU Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2014-05-12 15:27:32 Regression analysis Covariance and correlation Statistical theory Multivariate normal distribution Covariance Maximum likelihood Normal distribution Linear regression Variance Statistics Estimation theory Data analysis
30	Large Scale Distributed Sparse Precision Estimation Huahua Wang, Arindam Banerjee Dept. of Computer Science & Engg, University of Minnesota, Twin Cities {huwang,banerjee}@cs.umn.edu Cho-Jui Hsieh, Pradeep Ravikumar, Ind Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2013-11-11 22:32:08 Matrix theory Covariance and correlation Data analysis Matrices Matrix Multivariate normal distribution Covariance matrix Eigenvalues and eigenvectors Covariance Algebra Linear algebra Mathematics

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