A topological Markov chain is the support of an ordinary first-order Markov chain. We develop the concept of topological Markov field (TMF), which is the support of a Markov random field. Using this, we show that any one-dimensional (discrete-time, finite-alphabet) stationary Markov random field must be a stationary Markov chain, and we give a version of this result for continuous-time processes. We also give a general finite procedure for deciding if a given shift space is a TMF.published_or_final_versio
This is a PDF file obtained by scanning the original unpublished 1971 typescript that has been lost....
The present paper has two goals. First to present a natural example of a new class of random fields ...
For homogeneous Markov chains in a compact and locally compact spaces, the ergodic properties are in...
AbstractWe discuss an analogy between topological quantum field theories and the theory of Markov pr...
We consider topological Markov chains (also called Markov shifts) on countable graphs. We show that ...
We show how to construct a topological Markov map of the interval whose invariant probability measur...
If C(v,P) is a countable state, recurrent, aperiodic and irreducible Markov Chain with stationary pr...
AbstractIn this paper we define the quasi-Markov property and give a complete characterization of a ...
Abstract. In this paper, I will buildup the basic framework of Markov Chains over finite state space...
AbstractIn a recent paper Brydges, Fröhlich, and Spencer have successfully applied Markov chains to ...
31 pagesInternational audienceWe discuss the relationship between discrete-time processes (chains) a...
In this paper we extend the results of Meyn and Tweedie (1992b) from discrete-time parameter to cont...
4 latex figuresWe study the induced measure obtained from a 1-step Markov measure, supported by a to...
We define an analogue of Markov random fields for finite point processes and prove the appro-priate ...
The well-known Hammersley-Clifford Theorem states (under certain conditions) that any Markov random ...
This is a PDF file obtained by scanning the original unpublished 1971 typescript that has been lost....
The present paper has two goals. First to present a natural example of a new class of random fields ...
For homogeneous Markov chains in a compact and locally compact spaces, the ergodic properties are in...
AbstractWe discuss an analogy between topological quantum field theories and the theory of Markov pr...
We consider topological Markov chains (also called Markov shifts) on countable graphs. We show that ...
We show how to construct a topological Markov map of the interval whose invariant probability measur...
If C(v,P) is a countable state, recurrent, aperiodic and irreducible Markov Chain with stationary pr...
AbstractIn this paper we define the quasi-Markov property and give a complete characterization of a ...
Abstract. In this paper, I will buildup the basic framework of Markov Chains over finite state space...
AbstractIn a recent paper Brydges, Fröhlich, and Spencer have successfully applied Markov chains to ...
31 pagesInternational audienceWe discuss the relationship between discrete-time processes (chains) a...
In this paper we extend the results of Meyn and Tweedie (1992b) from discrete-time parameter to cont...
4 latex figuresWe study the induced measure obtained from a 1-step Markov measure, supported by a to...
We define an analogue of Markov random fields for finite point processes and prove the appro-priate ...
The well-known Hammersley-Clifford Theorem states (under certain conditions) that any Markov random ...
This is a PDF file obtained by scanning the original unpublished 1971 typescript that has been lost....
The present paper has two goals. First to present a natural example of a new class of random fields ...
For homogeneous Markov chains in a compact and locally compact spaces, the ergodic properties are in...