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Singular distribution
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81	Dimension Reduction in the Computation of Value-at-Risk PETTER WIBERG Fi Add to Reading List Source URL: www.albanese.co.uk Language: English - Date: 2014-03-17 15:14:19 Matrices Singular value decomposition Data analysis Numerical linear algebra Principal component analysis Cholesky decomposition Matrix Normal distribution Orthogonal matrix Algebra Linear algebra Mathematics
82	Equivariant and scale-free Tucker decomposition models Peter David Hoff1 Working Paper no. 142 Center for Statistics and the Social Sciences University of Washington Seattle, WA[removed] Add to Reading List Source URL: www.csss.washington.edu Language: English - Date: 2013-12-31 13:11:39 Data analysis Matrix theory Numerical linear algebra Normal distribution Singular value decomposition Multivariate normal distribution Higher-order singular value decomposition Matrix Orthogonal matrix Statistics Algebra Linear algebra
83	Nowcasting using the Chicago Fed National Activity Index Scott A. Brave and R. Andrew Butters Introduction and summary The Chicago Fed National Activity Index (CFNAI) is a monthly index of U.S. economic activity construc Add to Reading List Source URL: chicagofed.org Language: English - Date: 2014-04-29 17:23:40 Data analysis Econometrics Singular value decomposition Principal component analysis Factor analysis Normal distribution Variance Gross domestic product Dynamic factor Statistics Regression analysis Multivariate statistics
84	Forecasting European Industrial Production with Multivariate Singular Spectrum Analysis Anatoly Zhigljavskya∗, Hossein Hassania , and Saeed Heravib a Centre for Optimisation and Its Applications, Cardiff School of Mat Add to Reading List Source URL: forecasters.org Language: English - Date: 2010-02-04 17:15:33 Time series analysis Linear algebra Matrix theory Signal processing Data analysis Singular spectrum analysis Static single assignment form Multivariate normal distribution Singular value decomposition Algebra Statistics Mathematics
85	The circular law Charles Bordenave and Djalil Chafa¨ı Abstract. The circular law theorem states that the empirical spectral distribution of a n × n random matrix with i.i.d. entries of variance 1/n tends to the unifor Add to Reading List Source URL: jointmathematicsmeetings.org Language: English - Date: 2012-12-06 10:57:51 Matrices Matrix theory Singular value decomposition Random matrices Random matrix Circular law Normal matrix Matrix Eigenvalues and eigenvectors Algebra Linear algebra Mathematics
86	A singular Variance Gamma expansion Peter J¨ackel∗ First version: 27th May 2009 This version: 10th September 2009 Add to Reading List Source URL: www.pjaeckel.webspace.virginmedia.com Language: English - Date: 2011-07-26 17:24:44 Probability and statistics Gamma distribution Symbol Heston model Estimation theory Implied volatility Log-normal distribution Statistical theory Statistics Mathematical finance Mathematical analysis
87	PARAMETER OPTIMIZATION FOR ACTIVE SHAPE MDOELS Chun Chen1* 1 Ming Zhao1 Add to Reading List Source URL: www.zhaoming.name Language: English - Date: 2008-12-03 12:05:16 Mathematics Singular value decomposition Statistical inference Hypothesis testing Linear algebra Point distribution model Principal component analysis Eigenvalues and eigenvectors Active appearance model Statistics Algebra Computer vision
88	Who Moderates the Moderators? Crowdsourcing Abuse Detection in User-Generated Content Arpita Ghosh Satyen Kale Add to Reading List Source URL: vita.mcafee.cc Language: English - Date: 2011-03-23 23:25:55 Matrix theory Numerical linear algebra Singular value decomposition Functional analysis Eigenvalues and eigenvectors Normal distribution Eigendecomposition of a matrix Lanczos algorithm Algebra Linear algebra Mathematics
89	PARAMETER OPTIMIZATION FOR ACTIVE SHAPE MDOELS Chun Chen1* 1 Ming Zhao1 Add to Reading List Source URL: www.mingzhao.name Language: English - Date: 2009-04-24 01:57:41 Mathematics Singular value decomposition Statistical inference Hypothesis testing Linear algebra Point distribution model Principal component analysis Eigenvalues and eigenvectors Active appearance model Statistics Algebra Computer vision
90	BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 48, Number 1, January 2011, Pages 147–152 S[removed][removed]Article electronically published on October 27, 2010 Add to Reading List Source URL: www.ams.org Language: English - Date: 2012-05-01 11:12:57 Random matrices Matrices Mathematical physics Singular value decomposition Tracy–Widom distribution Random matrix Matrix Eigenvalues and eigenvectors Central limit theorem Algebra Mathematics Linear algebra

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