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  • Search: subject:"maximum of Gaussian random vector"
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Year of publication
Subject
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Lévy concentration function 2 Slepian inequality 2 anti-concentration 2 conditional multiplier central limit theorem 2 maximum of Gaussian random vector 2 Gaussian process 1 Gauß-Prozess 1 Levy process 1 Levy-Prozess 1 Linear algebra 1 Lineare Algebra 1 Statistical distribution 1 Statistische Verteilung 1 Stochastic process 1 Stochastischer Prozess 1 Theorie 1 Theory 1
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Online availability
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Free 2
Type of publication
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Book / Working Paper 2
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 2
Author
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Chernozhukov, Victor 2 Chetverikov, Denis 2 Kato, Kengo 2
Published in...
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CEMMAP working papers / Centre for Microdata Methods and Practice 1 cemmap working paper 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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Comparison and anti-concentration bounds for maxima of Gaussian random vectors
Chernozhukov, Victor; Chetverikov, Denis; Kato, Kengo - 2016
Slepian and Sudakov-Fernique type inequalities, which compare expectations of maxima of Gaussian random vectors under certain restrictions on the covariance matrices, play an important role in probability theory, especially in empirical process and extreme value theories. Here we give explicit...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011594350
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Cover Image
Comparison and anti-concentration bounds for maxima of Gaussian random vectors
Chernozhukov, Victor; Chetverikov, Denis; Kato, Kengo - 2016 - This version: May 1, 2014
Slepian and Sudakov-Fernique type inequalities, which compare expectations of maxima of Gaussian random vectors under certain restrictions on the covariance matrices, play an important role in probability theory, especially in empirical process and extreme value theories. Here we give explicit...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011525793
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