Guileless 发表于 2025-3-25 06:33:12
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Discrete Time Markov Chains,Branching processes and random walks are examples of Markov chains. In this chapter we study general properties of Markov chains.tenosynovitis 发表于 2025-3-25 13:10:03
Stationary Distributions for Discrete Time Markov Chains,We continue the study of Markov chains initiated in Chap. 5. A stationary distribution is a stochastic equilibrium for the chain. We find conditions under which such a distribution exists. We are also interested in conditions for convergence to a stationary distribution.车床 发表于 2025-3-25 16:20:05
The Poisson Process,In this chapter we introduce a continuous time stochastic process called the Poisson process. It is a good model in a number of situations and it has many interesting mathematical properties. There is a strong link between the exponential distribution and the Poisson process. This is why we start by reviewing the exponential distribution.Bricklayer 发表于 2025-3-25 20:28:26
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http://reply.papertrans.cn/23/2272/227173/227173_26.pngcharisma 发表于 2025-3-26 06:42:55
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http://reply.papertrans.cn/23/2272/227173/227173_29.png多节 发表于 2025-3-26 20:38:59
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