北京交通大学随机过程历年试题以及课后题答案（课本是王军老师的随机过程课本）

中科院随机过程讲义 好东西啊 可以跟他们的视频教程一起使用

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基于matlab的随机过程仿真 基于matlab的随机过程仿真

随机过程简明教程（何迎晖钱伟明同济大学）是pdf文档可以图文并茂的为你讲解，学起来更方面和易懂的

汪荣鑫随机过程课后习题打哪

A brief introduction to the formulation of various types of stochastic epidemic models is presented based on the well-known deterministic SIS and SIR epidemic models. Three different types of stochastic model formulations are discussed: discrete time Markov chain, continuous time Markov chain and stochastic differential equations. Properties unique to the stochastic models are presented: probability of disease extinction, probability of disease outbreak, quasistationary probability distribution, final size distribution, and expected duration of an epidemic. The chapter ends with a discussion of two stochastic formulations that cannot be directly related to the SIS and SIR epidemic models. They are discrete time Markov chain formulations applied in the study of epidemics within households (chain binomial models) and in the prediction of the initial spread of an epidemic (branching processes).

《应用随机过程：概率模型导论》 ROSS 中文第9版，90M,620页高清完整版

Stochastic Processes, Theory for Applications Robert G. Gallager著的随机过程的习题解答

应用随机过程（柳金甫）版，提供马尔科夫链的参考