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  • Search: subject:"Multivariate Independence"
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Year of publication
Subject
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Multivariate independence 4 Anderson-Darling type tests 2 Asymptotic distribution theory 2 Brownian pillow 2 Cramer-von Mises type tests 2 Distance correlation 2 Distance covariance 2 Gaussian processes 2 Kolmogorov type tests 2 Multivariate constancy 2 Tail behaviour 2 dCor 2 dCov 2 Center-Outward Quadrant 1 High dimension 1 Kendall Statistics 1 Multivariate Independence 1 Nichtparametrisches Verfahren 1 Nonparametric statistics 1 Semiparametrically Efficient Tests 1 Spearman 1 Statistical test 1 Statistical theory 1 Statistische Methodenlehre 1 Statistischer Test 1 Theorie 1 Theory 1
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Online availability
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Free 3 Undetermined 2
Type of publication
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Book / Working Paper 3 Article 2
Type of publication (narrower categories)
All
Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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Undetermined 4 English 1
Author
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Protassov, V. 2 Rizzo, Maria L. 2 Székely, Gábor J. 2 Drton, Mathias 1 Hallin, Marc 1 Han, Fang 1 Koning, A.J. 1 Koning, Koning, A.J. 1 Shi, Hongjian 1
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Institution
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Erasmus University Rotterdam, Econometric Institute 1 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 1
Published in...
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ECARES working paper 1 Econometric Institute Report 1 Econometric Institute Research Papers 1 Journal of Multivariate Analysis 1 Statistics & Probability Letters 1
Source
All
RePEc 4 ECONIS (ZBW) 1
Showing 1 - 5 of 5
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Semiparametrically efficient tests of multivariate independence using center-outward quadrant, Spearman, and Kendall Statistics
Shi, Hongjian; Drton, Mathias; Hallin, Marc; Han, Fang - 2023
Persistent link: https://www.econbiz.de/10013550194
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The distance correlation t-test of independence in high dimension
Székely, Gábor J.; Rizzo, Maria L. - In: Journal of Multivariate Analysis 117 (2013) C, pp. 193-213
. Distance correlation characterizes independence and determines a test of multivariate independence for random vectors in …
Persistent link: https://www.econbiz.de/10011042021
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On the uniqueness of distance covariance
Székely, Gábor J.; Rizzo, Maria L. - In: Statistics & Probability Letters 82 (2012) 12, pp. 2278-2282
Distance covariance and distance correlation are non-negative real numbers that characterize the independence of random vectors in arbitrary dimensions. In this work we prove that distance covariance is unique, starting from a definition of a covariance as a weighted L2 norm that measures the...
Persistent link: https://www.econbiz.de/10011040141
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Tail behaviour of Gaussian processes with applications to the Brownian pillow
Koning, Koning, A.J.; Protassov, V. - Faculteit der Economische Wetenschappen, Erasmus … - 2001
In this paper we investigate the tail behaviour of a random variable S which may be viewed as a functional T of a zero mean Gaussian process X, taking special interest in the situation where X obeys the structure which is typical for limiting processes ocurring in nonparametric testing of...
Persistent link: https://www.econbiz.de/10010731609
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Tail behaviour of Gaussian processes with applications to the Brownian pillow
Koning, A.J.; Protassov, V. - Erasmus University Rotterdam, Econometric Institute - 2001
In this paper we investigate the tail behaviour of a random variable S which may be viewed as a functional T of a zero mean Gaussian process X, taking special interest in the situation where X obeys the structure which is typical for limiting processes ocurring in nonparametric testing of...
Persistent link: https://www.econbiz.de/10008584804
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