Spartan
发表于 2025-3-27 00:21:00
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Chagrin
发表于 2025-3-27 04:16:42
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hematuria
发表于 2025-3-27 05:43:08
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Thymus
发表于 2025-3-27 11:50:17
Phase-Type Distributions,osed to deduction in the general class of matrix-exponential distributions, where more . methods may be necessary. The probabilistic reasoning provides both elegance and power to the theory of matrix-exponential methods and to applications in stochastic modeling.
字谜游戏
发表于 2025-3-27 17:32:32
Martingales and More General Markov Processes,her with their extensions to sub- and supermartingales, appear all over in stochastic modeling, and they provide us with powerful tools and techniques for addressing questions such as convergence of stochastic processes, limiting distributions, and methods related to stopping times (optional stopping theorems).
hieroglyphic
发表于 2025-3-27 17:52:47
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Soliloquy
发表于 2025-3-27 23:17:31
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窃喜
发表于 2025-3-28 03:53:23
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Presbycusis
发表于 2025-3-28 07:59:15
Random Walks,By a random walk . on . we understand a stochastic process in discrete time for which .. = 0, and for . ≥ 1,where .., .., … are i.i.d. ∼ . for some distribution . on ..
STEER
发表于 2025-3-28 14:12:01
https://doi.org/10.1007/978-1-4939-7049-0Applied probability; Markov Processes; Matrix--exponential distributions; Numerical methods; Stochastic