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  • Search: subject:"Gaussian random vector"
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Year of publication
Subject
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Gaussian random vector 2 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 Joint moment 1 Jointly Gaussian random variables 1 Levy process 1 Levy-Prozess 1 Limit theorems 1 Linear algebra 1 Lineare Algebra 1 Multivariate Gaussian random variables 1 Near-maxima 1 Product moment 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 Undetermined 2
Type of publication
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Article 2 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 Undetermined 2
Author
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Chernozhukov, Victor 2 Chetverikov, Denis 2 Kato, Kengo 2 Kumari, J. Vasantha 1 Lee, Seungwon 1 Song, Iickho 1 Vasudeva, Rasbagh 1
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Published in...
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CEMMAP working papers / Centre for Microdata Methods and Practice 1 Metrika 1 Statistics & Probability Letters 1 cemmap working paper 1
Source
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RePEc 2 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 4 of 4
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Comparison and anti-concentration bounds for maxima of Gaussian random vectors
Chernozhukov, Victor; Chetverikov, Denis; Kato, Kengo - 2016
-concentration inequality for the maximum of a Gaussian random vector, which derives a useful upper bound on the Lévy concentration function for …
Persistent link: https://www.econbiz.de/10011594350
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Comparison and anti-concentration bounds for maxima of Gaussian random vectors
Chernozhukov, Victor; Chetverikov, Denis; Kato, Kengo - 2016 - This version: May 1, 2014
-concentration inequality for the maximum of a Gaussian random vector, which derives a useful upper bound on the Lévy concentration function for …
Persistent link: https://www.econbiz.de/10011525793
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Explicit formulae for product moments of multivariate Gaussian random variables
Song, Iickho; Lee, Seungwon - In: Statistics & Probability Letters 100 (2015) C, pp. 27-34
Explicit formulae for the product moments of multivariate Gaussian random variables are derived. The formulae we have discovered are more compact than other well-known ones and allow us to instantly evaluate any term of the product moments.
Persistent link: https://www.econbiz.de/10011263174
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Asymptotic behaviour of near-maxima of Gaussian sequences
Vasudeva, Rasbagh; Kumari, J. Vasantha - In: Metrika 77 (2014) 7, pp. 861-866
>n</mi> </msub> <mo stretchy="false">)</mo> </mrow> </math> </EquationSource> </InlineEquation> be a Gaussian random vector with a …
Persistent link: https://www.econbiz.de/10010995008
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