We consider weak lumpability of general finite homogeneous Markov chains evolving in discrete time, that is when a lumped Markov chain with respect to a partition of the initial state space is also a homogeneous Markov chain. We show that weak lumpability is equivalent to the existence of a decomposable polyhedral cone which is positively invariant by the transition probability matrix of the original chain. It allows us, in a unified way, to derive new results on lumpability of reducible Markov chains and to obtain spectral properties associated with lumpability
In this study, we consider general Markov chains (MC) defined by a transition probability (kernel) t...
The attached file may be somewhat different from the published versionInternational audienceIn this ...
AbstractWe study factorization problems for Markov operators between probability spaces. The factora...
We consider weak lumpability of denumerable discrete or continuous time Markov chains. Firstly, we a...
An irreducible and homogeneous Markov chain with finite state space is considered. Under a mild cond...
AbstractWe consider an irreducible and homogeneous Markov chain (discrete time) with finite state sp...
Programme 1 - Architectures paralleles, bases de donnees, reseaux et systemes distribues - Projet Mo...
In this thesis, the theory of lumpability (strong lumpability and weak lumpability) of irreducible f...
SIGLECNRS 14802 E / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
The attached file may be somewhat different from the published versionInternational audienceWe consi...
AbstractWe analysed in the companion paper (Stochastic Process. Appl. 38, 1991), the conditions unde...
We consider an absorbing Markov Chain that a result of an aggregation finite Markov Chain of higher ...
AbstractKingman and Williams [6] showed that a pattern of positive elements can occur in a transitio...
A class of Markov chains we call successively lumpable is specified for which it is shown that the s...
International audienceUnder certain conditions, the state space of a homogeneous Markov process can ...
In this study, we consider general Markov chains (MC) defined by a transition probability (kernel) t...
The attached file may be somewhat different from the published versionInternational audienceIn this ...
AbstractWe study factorization problems for Markov operators between probability spaces. The factora...
We consider weak lumpability of denumerable discrete or continuous time Markov chains. Firstly, we a...
An irreducible and homogeneous Markov chain with finite state space is considered. Under a mild cond...
AbstractWe consider an irreducible and homogeneous Markov chain (discrete time) with finite state sp...
Programme 1 - Architectures paralleles, bases de donnees, reseaux et systemes distribues - Projet Mo...
In this thesis, the theory of lumpability (strong lumpability and weak lumpability) of irreducible f...
SIGLECNRS 14802 E / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
The attached file may be somewhat different from the published versionInternational audienceWe consi...
AbstractWe analysed in the companion paper (Stochastic Process. Appl. 38, 1991), the conditions unde...
We consider an absorbing Markov Chain that a result of an aggregation finite Markov Chain of higher ...
AbstractKingman and Williams [6] showed that a pattern of positive elements can occur in a transitio...
A class of Markov chains we call successively lumpable is specified for which it is shown that the s...
International audienceUnder certain conditions, the state space of a homogeneous Markov process can ...
In this study, we consider general Markov chains (MC) defined by a transition probability (kernel) t...
The attached file may be somewhat different from the published versionInternational audienceIn this ...
AbstractWe study factorization problems for Markov operators between probability spaces. The factora...