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
Link To Document :
بازگشت