声音会爆炸 发表于 2025-3-21 16:07:28

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aspersion 发表于 2025-3-21 23:45:54

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未开化 发表于 2025-3-22 03:12:27

Central Limit Theorems,d with central limit theorems for statistics defined by maximization or minimization of a random process, many of the technicalities can be drawn off into a single stochastic equicontinuity condition. This section shows how. Empirical process methods for establishing stochastic equicontinuity will be developed later in the chapter.

失望未来 发表于 2025-3-22 05:47:43

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功多汁水 发表于 2025-3-22 10:31:32

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我要沮丧 发表于 2025-3-22 13:31:16

Optimal Control Problems: A General Scheme,alize the general theory to the particular function space ., under its uniform metric. It will turn out that most applications, especially those that come up with brownian bridges and brownian motions as limit processes, require no fancier setting than this.

我要沮丧 发表于 2025-3-22 20:18:18

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苍白 发表于 2025-3-23 00:17:38

,The Skorohod Metric on , will not be the main concern of this chapter. Instead we shall investigate a sort of . convergence on compacta for ., the space where the interesting applications live.

西瓜 发表于 2025-3-23 01:40:18

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bronchiole 发表于 2025-3-23 06:59:32

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查看完整版本: Titlebook: Convergence of Stochastic Processes; David Pollard Book 1984 Springer-Verlag New York Inc. 1984 Brownian bridge.Brownian motion.Convergenc