Normal matrix

Results: 422



#Item
341Time 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

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

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Source URL: forecasters.org

Language: English - Date: 2010-02-04 17:15:33
342Summary statistics / Data analysis / Covariance matrix / Estimation of covariance matrices / Covariance / Multivariate normal distribution / Matrix / Estimation theory / Sample mean and sample covariance / Statistics / Covariance and correlation / Matrices

Covariance matrices with low-dimensional structures Estimation of Covariance Matrices with Low-Dimensional Structures Luo Xiao Johns Hopkins University

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Source URL: www.samsi.info

Language: English - Date: 2014-02-26 14:36:35
343Matrix theory / Numerical linear algebra / Matrices / Singular value decomposition / Matrix norm / Normal matrix / Singular value / Matrix / Moore–Penrose pseudoinverse / Algebra / Linear algebra / Mathematics

SINGULAR VALUES OF RANDOM MATRICES DJALIL CHAFA¨I Abstract. These notes are an expanded version of short courses given at the occasion of a school held in Universit´ e Paris-Est Marne-la-Vall´ ee, 16–20

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Source URL: djalil.chafai.net

Language: English - Date: 2014-03-22 11:48:10
344Matrix theory / Operator theory / Determinant / Symbol / Normal distribution / Trace / Μ operator / Von Neumann algebra / Algebra / Mathematics / Linear algebra

Geometry of Interaction V: logic in the hyperfinite factor Jean-Yves Girard Institut de Mathématiques de Luminy, UMR 6206 – CNRS 163, Avenue de Luminy, Case 907, F[removed]Marseille Cedex 09 [removed]

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Source URL: iml.univ-mrs.fr

Language: English - Date: 2010-01-20 03:39:53
345Mathematical physics / Matrices / Matrix theory / Singular value decomposition / Normal matrix / Random matrix / Matrix / Eigenvalues and eigenvectors / Spectrum / Algebra / Mathematics / Linear algebra

About non-Hermitian random matrices[removed]About non-Hermitian random matrices Djalil Chafaï

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Source URL: djalil.chafai.net

Language: English - Date: 2014-05-29 05:00:53
346Matrix theory / Spectral theory / Matrices / Normal matrix / Eigenvalues and eigenvectors / Spectrum / Hermann Weyl / Characteristic polynomial / Algebra / Mathematics / Linear algebra

Few words around the circular law[removed]Few words around the circular law Djalil CHAFAÏ

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Source URL: djalil.chafai.net

Language: English - Date: 2014-03-22 11:50:22
347Matrices / Matrix theory / Singular value decomposition / Random matrices / Random matrix / Circular law / Normal matrix / Matrix / Eigenvalues and eigenvectors / Algebra / Linear algebra / Mathematics

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

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Source URL: jointmathematicsmeetings.org

Language: English - Date: 2012-12-06 10:57:51
348Linear algebra / Matrix theory / Regression analysis / Matrices / Statistical methods / Optimal design / Matrix / Covariance matrix / Multivariate normal distribution / Algebra / Statistics / Mathematics

Program Wednesday, July 23, 2008 Plenary session – Probability and Stochastic Processes – Chair: Simo Puntanen 8:55 – 9:00

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Source URL: www.iwms08.ipt.pt

Language: English - Date: 2010-05-05 12:00:30
349Multivariable calculus / Symbol / Constructible universe / Distribution / Function / Vector space / Jacobian matrix and determinant / Μ operator / Normal distribution / Mathematics / Algebra / Mathematical analysis

Peter J¨ackel More likely than not First version: This version:

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Source URL: www.pjaeckel.webspace.virginmedia.com

Language: English - Date: 2011-07-26 17:45:16
350Matrix theory / Algebraic topology / Topological spaces / Matrices / Smith normal form / Simplicial homology / Simplicial complex / Matrix / Rank / Algebra / Mathematics / Linear algebra

Computing Simplicial Homology Based on Efficient Smith Normal Form Algorithms Jean-Guillaume Dumas1 , Frank Heckenbach2 , David Saunders3 , and Volkmar Welker4 1 2

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Source URL: ljk.imag.fr

Language: English - Date: 2010-03-30 05:49:30
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