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Normal matrix
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71	Fixed-b Asymptotics for Spatially Dependent Robust Nonparametric Covariance Matrix Estimators∗ C. Alan Bester,∗ Timothy G. Conley,∗ Christian B. Hansen,† and Timothy J. Vogelsang‡ AugustAbstract. This pa Add to Reading List Source URL: faculty.chicagobooth.edu Language: English - Date: 2008-09-25 17:55:29 Statistical theory Covariance and correlation Econometrics Estimator Asymptotic theory Bootstrapping Point estimation Normal distribution Covariance Statistics Statistical inference Estimation theory
72	Package ‘extRemes’ February 19, 2015 VersionDate 22 October 2012 Title Extreme Value Analysis Author Eric Gilleland Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2015-02-19 17:38:44 Normal distribution Multivariate statistics Actuarial science Probability theory Multivariate normal distribution Matrix Cumulative distribution function Stable distribution Copula Statistics Probability and statistics Mathematical analysis
73	Are a set of microarrays independent of each other? Bradley Efron∗† Stanford University Abstract Having observed an m × n matrix X whose rows are possibly correlated, we wish to test the hypothesis that the columns Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2008-10-31 15:20:23 Covariance and correlation Data analysis Matrix theory Matrices Multivariate normal distribution Correlation and dependence Covariance Matrix Singular value decomposition Algebra Statistics Linear algebra
74	Mon. Not. R. Astron. Soc. 000, 1–Printed 23 AprilMN LATEX style file v2.2) Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-04-22 20:33:47 Main Belt asteroids Covariance and correlation Covariance matrix Data analysis Matrices HD 209458 b 85 Io Multivariate normal distribution Normal distribution Statistics Planetary science Astronomy
75	[Updated: May 15, 24th International Workshop on Matrices and Statistics, IWMS–28 May 2015, Haikou City, Hainan Island, China Hainan Normal University The purpose of this ILAS-endorsed Workshop is to sti Add to Reading List Source URL: people.uta.fi Language: English - Date: 2015-05-15 09:47:51 Markov models Haikou Mixed model Partial least squares regression Matrix Multivariate normal distribution Markov chain Hainan Covariance matrix Statistics Regression analysis Gulf of Tonkin
76	To Appear: Body Sensor Networks Workshop, Boston MA, AprilMulti-sensor Data Fusion Using the Influence Model Wen Dong and Alex Pentland E15-383, 20 Ames Street The MIT Media Laboratory Add to Reading List Source URL: vismod.media.mit.edu Language: English - Date: 2006-01-25 11:22:24 Markov processes Markov chain Hidden Markov model Expectation–maximization algorithm Stochastic process Matrix Mixture model Normal distribution Sensor Statistics Markov models Statistical models
77	Program Wednesday, July 23, 2008 Plenary session – Probability and Stochastic Processes – Chair: Simo Puntanen 8:55 – 9:00 Add to Reading List Source URL: www.sis.uta.fi Language: English - Date: 2011-05-10 03:10:44 Linear algebra Matrix theory Regression analysis Matrices Statistical methods Optimal design Matrix Covariance matrix Multivariate normal distribution Algebra Statistics Mathematics
78	ComputingDOIs00607Printed in The Netherlands Shadow metamorphosis B. Klimmek, H. Prautzsch, and N. Vahrenkamp, Karlsruhe Add to Reading List Source URL: wwwiaim.ira.uka.de Language: English - Date: 2007-03-08 04:03:38 Algebra Matrices Differential geometry Normal Vector calculus Orthogonal matrix Torus Projection Manifold Mathematical analysis Mathematics Surfaces
79	Exactly Sparse Extended Information Filters for Feature-Based SLAM Matthew R. Walter, Ryan M. Eustice, and John J. Leonard Abstract Recent research concerning the Gaussian canonical form for Simultaneous Localization and Add to Reading List Source URL: ttic.uchicago.edu Language: English - Date: 2014-11-19 14:27:01 Control theory Linear filters Data analysis EKF SLAM Kalman filter Multivariate normal distribution Matrix Covariance matrix Fisher information Statistics Robot control Estimation theory
80	Monte Carlo Filtering on Lie Groups Alessandro Chiuso 1 and Stefano Soatto 2 Abstract We propose a nonlinear lter for estimating the trajectory of a random walk on a matrix Lie group with constant computational complexi Add to Reading List Source URL: vision.ucla.edu Language: English - Date: 2007-12-16 20:03:10 Importance sampling Markov chain Monte Carlo Normal distribution Exponential map Stochastic process Monte Carlo integration Resampling Variance Expected value Statistics Monte Carlo methods Probability and statistics

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