Sudakov Minoration for Products of Radial-Type Log-Concave Measures
Publication type: Book Chapter
Publication date: 2023-06-06
SJR: —
CiteScore: 1.6
Impact factor: —
ISSN: 10506977, 22970428
Abstract
The first step to study lower bounds for a stochastic process is to prove a special property—Sudakov minoration. The property means that if a certain number of points from the index set are well separated, then we can provide an optimal type lower bound for the mean value of the supremum of the process. Together with the generic chaining argument, the property can be used to fully characterize the mean value of the supremum of the stochastic process. In this article we prove the property for canonical processes based on radial-type log-concave measures.
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Bednorz W. Sudakov Minoration for Products of Radial-Type Log-Concave Measures // Seminar on Stochastic Analysis, Random Fields and Applications VI. 2023. pp. 257-295.
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Bednorz W. Sudakov Minoration for Products of Radial-Type Log-Concave Measures // Seminar on Stochastic Analysis, Random Fields and Applications VI. 2023. pp. 257-295.
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TY - GENERIC
DO - 10.1007/978-3-031-26979-0_11
UR - https://doi.org/10.1007/978-3-031-26979-0_11
TI - Sudakov Minoration for Products of Radial-Type Log-Concave Measures
T2 - Seminar on Stochastic Analysis, Random Fields and Applications VI
AU - Bednorz, Witold
PY - 2023
DA - 2023/06/06
PB - Springer Nature
SP - 257-295
SN - 1050-6977
SN - 2297-0428
ER -
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@incollection{2023_Bednorz,
author = {Witold Bednorz},
title = {Sudakov Minoration for Products of Radial-Type Log-Concave Measures},
publisher = {Springer Nature},
year = {2023},
pages = {257--295},
month = {jun}
}