We discuss the stability of discrete-time Markov chains satisfying monotonicity and an order-theoretic mixing condition that can be seen as an alternative to irreducibility. A chain satisfying these conditions has at most one stationary distribution. Moreover, if there is a stationary distribution, then the chain is stable in an order-theoretic sense
AbstractWe consider the stability problem of discrete Markov chains when their transition matrices a...
International audienceStochastic monotonicity is one of the sufficient conditions for stochastic com...
In this paper, we consider uniformly mean ergodic and uniformly asymptotical stable Markov operators...
We analyze the notions of monotonicity and complete monotonicity for Markov Chains in continuous-tim...
We analyze the notions of monotonicity and complete monotonicity for Markov Chains in continuous-tim...
We analyze the notions of monotonicity and complete monotonicity for Markov Chains in continuous-tim...
We formalize and analyze the notions of stochastic monotonicity and realizable monotonicity for Mark...
In this paper we connect various topological and probabilistic forms of stability for discrete-time ...
In this paper we integrate two strands of the literature on stability of general state Markov chains...
International audienceWe analyze the notions of monotonicity and complete monotonicity for Markov Ch...
This paper extends a family of well known stability theorems for monotone economies to a significant...
A stochastic matrix is "monotone" [4] if its row-vectors are stochastically increasing. Closure prop...
The focus of the thesis is the convergence of irreducible aperiodic homoge- neous Markov chains with...
In this paper we extend the results of Meyn and Tweedie (1992b) from discrete-time parameter to cont...
Abstract. We study the generation of uniformly distributed linear extensions using Markov chains. In...
AbstractWe consider the stability problem of discrete Markov chains when their transition matrices a...
International audienceStochastic monotonicity is one of the sufficient conditions for stochastic com...
In this paper, we consider uniformly mean ergodic and uniformly asymptotical stable Markov operators...
We analyze the notions of monotonicity and complete monotonicity for Markov Chains in continuous-tim...
We analyze the notions of monotonicity and complete monotonicity for Markov Chains in continuous-tim...
We analyze the notions of monotonicity and complete monotonicity for Markov Chains in continuous-tim...
We formalize and analyze the notions of stochastic monotonicity and realizable monotonicity for Mark...
In this paper we connect various topological and probabilistic forms of stability for discrete-time ...
In this paper we integrate two strands of the literature on stability of general state Markov chains...
International audienceWe analyze the notions of monotonicity and complete monotonicity for Markov Ch...
This paper extends a family of well known stability theorems for monotone economies to a significant...
A stochastic matrix is "monotone" [4] if its row-vectors are stochastically increasing. Closure prop...
The focus of the thesis is the convergence of irreducible aperiodic homoge- neous Markov chains with...
In this paper we extend the results of Meyn and Tweedie (1992b) from discrete-time parameter to cont...
Abstract. We study the generation of uniformly distributed linear extensions using Markov chains. In...
AbstractWe consider the stability problem of discrete Markov chains when their transition matrices a...
International audienceStochastic monotonicity is one of the sufficient conditions for stochastic com...
In this paper, we consider uniformly mean ergodic and uniformly asymptotical stable Markov operators...