Perfect simulation of conditionally specified models

成果类型:
Article
署名作者:
Moller, J
署名单位:
Aalborg University
刊物名称:
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
ISSN/ISSBN:
1369-7412
DOI:
10.1111/1467-9868.00175
发表日期:
1999
页码:
251-264
关键词:
markov-chains
摘要:
We discuss how the ideas of producing perfect simulations based on coupling from the past for finite state space models naturally extend to multivariate distributions with infinite or uncountable state spaces such as autogamma, auto-Poisson and autonegative binomial models, using Gibbs sampling in combination with sandwiching methods originally introduced for perfect simulation of point processes.
来源URL: