Almost Sure Convergence of Multiparameter Martingales for Markov Random Fields

Abstract

We prove that bounded multiparameter martingales converge almost surely if the underlying $\sigma$-fields are generated by a Markov random field which satisfies Dobrushin's uniqueness condition. An example shows that it is not enough to assume that the Markov field is uniquely determined by its conditional probabilities.