和蔼
发表于 2025-3-30 09:01:09
Majorizing Measures,have different forms (see Theorems 14.1 and 14.5), and a certain gap may exist between these bounds. In particular, this is a reason of that it is impossible to give necessary and sufficient conditions for the boundedness (or continuity) of a Gaussian random function in terms of the entropy. In the
关心
发表于 2025-3-30 15:11:43
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结构
发表于 2025-3-30 20:20:46
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Flagging
发表于 2025-3-30 23:44:44
Several Open Problems,., ρ), and moreover, one can construct an indicator model for this function. The converse is obviously true: If both a Brownian function . an indicator model for this function exist, then (., ρ) may be isometrically embedded into L.. However, a more natural question is the following: Does the existe
acetylcholine
发表于 2025-3-31 01:58:08
Book 1995t all conceivable nice properties that a distribution may ever have: symmetry, stability, indecomposability, a regular tail behavior, etc. Gaussian measures (the distributions of Gaussian random functions), as infinite-dimensional analogues of tht< classical normal distribution, go to work as such e
EVICT
发表于 2025-3-31 06:36:54
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证明无罪
发表于 2025-3-31 11:56:41
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LIEN
发表于 2025-3-31 13:38:23
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朋党派系
发表于 2025-3-31 18:36:00
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PHON
发表于 2025-4-1 01:43:59
https://doi.org/10.1007/978-3-030-05099-3efined on an . parametric set, we shall interpret the regularity as boundedness of the sample functions, or the continuity of sample functions with respect to the intrinsic semimetric. We shall also mention some special features of the regularity of ., such as boundedness of the variation and differentiability.