We deal with a continuous time Markov additive process where the environment is a Markov chain with finite state space. Moreover we always assume that the environment is irreducible. We consider two further Markov additive processes derived in a suitable way from the original one: the fluid model and the averaged parameters model. We prove inequalities between rate functions which can be related to suitable inequalities between Perron Frobenius eigenvalues. We also present some convergence results for rate functions and Lundberg parameters for both the fluid model and the averaged parameters model. A final section is devoted to the discrete time case
Finite inhomogeneous continuous-time Markov chains are studied. For a wide class of such processes a...
Finite inhomogeneous continuous-time Markov chains are studied. For a wide class of such processes a...
In this study, we consider general Markov chains (MC) defined by a transition probability (kernel) t...
We deal with a continuous time Markov additive process where the environment is a Markov chain wit...
We deal with a continuous time Markov additive process where the environment is a Markov chain wit...
We deal with a continuous time Markov additive process where the environment is a Markov chain wit...
Let us consider a continuous time Markov additive process with cadlag paths and a sequence of ran...
Let us consider a continuous time Markov additive process with cadlag paths and a sequence of ran...
Let us consider a continuous time Markov additive process with cadlag paths and a sequence of ran...
Let us consider a continuous time Markov additive process with cadlag paths and a sequence of ran...
Let us consider a continuous time Markov additive process with cadlag paths and a sequence of ran...
Consider a Markov chain $\{X_n\}_{n\ge 0}$ with an ergodic probability measure $\pi$. Let $\Psi$ a f...
Through Laplace transforms, we study the extremes of a continuous-time Markov-additive process with ...
In this paper we present an overview of the field of deterministic approximation of Markov processes...
International audienceWe propose new bounds and approximations for the transition probabilities of a...
Finite inhomogeneous continuous-time Markov chains are studied. For a wide class of such processes a...
Finite inhomogeneous continuous-time Markov chains are studied. For a wide class of such processes a...
In this study, we consider general Markov chains (MC) defined by a transition probability (kernel) t...
We deal with a continuous time Markov additive process where the environment is a Markov chain wit...
We deal with a continuous time Markov additive process where the environment is a Markov chain wit...
We deal with a continuous time Markov additive process where the environment is a Markov chain wit...
Let us consider a continuous time Markov additive process with cadlag paths and a sequence of ran...
Let us consider a continuous time Markov additive process with cadlag paths and a sequence of ran...
Let us consider a continuous time Markov additive process with cadlag paths and a sequence of ran...
Let us consider a continuous time Markov additive process with cadlag paths and a sequence of ran...
Let us consider a continuous time Markov additive process with cadlag paths and a sequence of ran...
Consider a Markov chain $\{X_n\}_{n\ge 0}$ with an ergodic probability measure $\pi$. Let $\Psi$ a f...
Through Laplace transforms, we study the extremes of a continuous-time Markov-additive process with ...
In this paper we present an overview of the field of deterministic approximation of Markov processes...
International audienceWe propose new bounds and approximations for the transition probabilities of a...
Finite inhomogeneous continuous-time Markov chains are studied. For a wide class of such processes a...
Finite inhomogeneous continuous-time Markov chains are studied. For a wide class of such processes a...
In this study, we consider general Markov chains (MC) defined by a transition probability (kernel) t...