1. "Markov Chain Monte Carlo Methods for Bayesian Data Analysis," by Andrew Gelman, John B. Carlin, Hal S. Stern, and Donald B. Rubin.
  2. "Markov Chains and Mixing Times," by David A. Levin, Yuval Peres, and Elizabeth L. Wilmer.
  3. "Introduction to Stochastic Processes with R," by Robert P. Dobrow.
  4. "Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues," by Pierre Brémaud.
  5. "An Introduction to Markov Chain Monte Carlo Methods and Their Applications," by Antonietta Mira and Emilia Scarpa
用马尔科夫链方法解决网络节点通达性问题中可以参考的文献

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