• DocumentCode
    723960
  • Title

    The research and simulation about rare events based on MCMC

  • Author

    Yabing Guo ; Wenbing Chang ; Shenghan Zhou

  • Author_Institution
    Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    694
  • Lastpage
    698
  • Abstract
    In this paper, the importance of the rare events has been strengthened and the MCMC (Markov Chain Monte Carlo) sampling is proposed to simulate the possibility of the rare events instead of traditional standard Monte Carlo simulation. Gibbs sampling as one of the popular and widely used algorithm is adopted for MCMC methodology. In the end of this paper, a useful software WinBUGS was introduced to provide some proof for MCMC method based on Gibbs sampling to estimate the possibility of rare events.
  • Keywords
    Markov processes; Monte Carlo methods; mathematics computing; Gibbs sampling; MCMC methodology; MCMC sampling; Markov Chain Monte Carlo sampling; WinBUGS; Computational modeling; Estimation; Markov processes; Monte Carlo methods; Probability density function; Software; Standards; MCMC; Monte Carlo; Rare Event; WinBUGS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162009
  • Filename
    7162009