Using MCMC methods in some application problems

  • Authors

    • Parvin Azhdari Assiatant professor at Islamic Azad University
    • Nader Jafarpanahi
    • Arman Beitollahi Assistant professor at Islamic Azad University
    2014-07-19
    https://doi.org/10.14419/ijsw.v2i2.2967

  • Abstract

    MCMC methods are very important tools for estimating unknown parameters in Bayesian models. Especially in the case of high dimensions. Gaussian mixture model is one of the applications of estimating hyper parameters by MCMC method.

    Keywords: Gibbs Sampling, Slice Sampling, Metropolis-Hastings Algorithm, Gaussian, Mixture Model.

  • References

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  • How to Cite

    Azhdari, P., Jafarpanahi, N., & Beitollahi, A. (2014). Using MCMC methods in some application problems. International Journal of Scientific World, 2(2), 48-55. https://doi.org/10.14419/ijsw.v2i2.2967

    Received date: 2014-05-30

    Accepted date: 2014-06-30

    Published date: 2014-07-19