Open Access
Issue
MATEC Web of Conferences
Volume 44, 2016
2016 International Conference on Electronic, Information and Computer Engineering
Article Number 01050
Number of page(s) 4
Section Computer, Algorithm, Control and Application Engineering
DOI https://doi.org/10.1051/matecconf/20164401050
Published online 08 March 2016
  1. G. L. Gong, M. P. Qian. The application of stochastic process. Tsinghua University press, Beijing, 2004
  2. Sh.S. Mao J.L. Wang, X.L. Pu. Advanced Mathematical Statistics, Higher education press, Beijing, 1998
  3. Y.Q. Li, Ch. Liu, Q. Wang. stochastic process. National Defense Industry Press, Beijing, 2009
  4. Gelfand A E, Smith A F M. samling based approaches to calculating marginal densities. J Amer Statist Assoc, 1990, 85: 398–409 [CrossRef]
  5. Gelfand A E, Smith A F M. Gibbs sampling for marginal posterior expections. Communications in Statistics A, 1991, 20: 1747–1766
  6. Walsh, B. (2004). Markov Chain Monte Carlo and Gibbs Sampling. Lecture Notes for EEB 581, version 26 April 2004.
  7. Gareth O. Roberts, Jeffrey S. Rosenthal., General state space Markov chains and MCMC algorithms, Probability surveys Vol. 1 (2004) 20–71

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