MARKOV-CHAINS WITH STOCHASTICALLY STATIONARY TRANSITION-PROBABILITIES

成果类型:
Article
署名作者:
OREY, S
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/aop/1176990328
发表日期:
1991
页码:
907-928
关键词:
random-environments
摘要:
Markov chains on a countable state space are studied under the assumption that the transition probabilities (P(n)(x,y)) constitute a stationary stochastic process. An introductory section exposing some basic results of Nawrotzki and Cogburn is followed by four sections of new results.