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