SPECT 发表于 2025-3-25 06:56:50

https://doi.org/10.1007/978-3-031-00943-3weakly stationary processes; discrete parameter Markov processes; spectral representation of a station

Nonporous 发表于 2025-3-25 07:51:26

Springer Nature Switzerland AG 2022

Proponent 发表于 2025-3-25 11:44:18

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Costume 发表于 2025-3-25 17:37:08

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北京人起源 发表于 2025-3-25 20:57:51

Martingale Central Limit Theorem, moments that encompass a wide range of applications that extend well beyond the classical formulations for i.i.d. summands. The approach is based upon infinitesimal conditions for a stochastic process to be a Gaussian process of interest in their own right.

Mucosa 发表于 2025-3-26 03:32:26

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ORE 发表于 2025-3-26 06:14:08

Weakly Stationary Processes and Their Spectral Measures,Stationary stochastic processes are analyzed at the level of their first and second order characteristics, mean and covariance, using Fourier methods.

山崩 发表于 2025-3-26 09:19:12

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Palter 发表于 2025-3-26 16:19:02

,Birkhoff’s Ergodic Theorem,In the context of stochastic processes, ergodic theory relates the long-run “time-averages” such as the sample mean of an evolving strictly stationary process .., .., … to a “phase-average” computed as an expected value with respect to a probability distribution on the state space. This is the perspective developed in this chapter.

的事物 发表于 2025-3-26 19:04:35

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查看完整版本: Titlebook: Stationary Processes and Discrete Parameter Markov Processes; Rabi Bhattacharya,Edward C. Waymire Textbook 2022 Springer Nature Switzerlan