Markov Chains with Stochastically Stationary Transition Probabilities

Abstract

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.