有恶臭 发表于 2025-3-28 17:14:09

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指数 发表于 2025-3-28 20:08:24

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缩影 发表于 2025-3-28 22:59:16

Small Deviations,ur subjects in Section 12. We established that this asymptotics had a unified fashion on the logarithmic level, and this fashion did not depend on the form of A and was controlled by constants governed by the action functional.

interference 发表于 2025-3-29 04:32:37

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可触知 发表于 2025-3-29 10:17:07

Examples of Gaussian Random Functions,It was not until the end of the nineteenth century when the chief reason causing such motion has been clarified: a large number of collisions of pollen grains bombarded by molecules of the liquid in their thermal motion. Thus, the phenomenon discovered by Brown has become a visible proof of the “lif

植物茂盛 发表于 2025-3-29 13:26:17

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cushion 发表于 2025-3-29 16:30:49

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ANTE 发表于 2025-3-29 23:47:40

Convexity and the Isoperimetric Property, .. In this section, we are going to clarify, in what sense Gaussian distributions are convex. The notion of convexity it related to a remarkable isoperimetric theorem asserting that, among all sets of the same measure, it is the half-space that has the smallest “surface area”. We first consider the

运动性 发表于 2025-3-30 00:15:14

Metric Entropy and the Comparison Principle,rds, . may be covered by the balls of radius ε centered at points of .. Denote by . (., ε) the least possible number of points in an ε-. for the set .. Those ε-. which contain exactly . (., ε) points will be called minimal. The quantity . (., ε) ≡ log . (., ε) is called the . of the space ..

chalice 发表于 2025-3-30 06:52:15

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查看完整版本: Titlebook: Gaussian Random Functions; M. A. Lifshits Book 1995 Springer Science+Business Media Dordrecht 1995 Gaussian distribution.Gaussian measure.