Let us consider a continuous time Markov additive process with cadlag paths and a sequence of random variables which forms a random walk with positive increments. Then, if they are independent, we prove that the continuous time Markov additive process computed at the epochs of the random walk is a discrete time Markov additive process and we provide an expression for the corresponding MA transition function. Moreover we concentrate our attention on the finite environment's state space case and, under further quite general hypotheses, we present some large deviations results
We consider a multivariate continuous-time process, generated by a system of linear stochastic diffe...
We consider a multivariate continuous-time process, generated by a system of linear stochastic diffe...
discrete-time Markov chains and renewal processes exhibit convergence to stationarity. In the case o...
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...
International audienceAbstract The recent study by De Bruyne et al (2021 J. Stat. Mech. 123204), con...
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...
We deal with a continuous time Markov additive process where the environment is a Markov chain wit...
International audienceDiscretization of continuous time autoregressive (AR) processes driven by a Br...
International audienceDiscretization of continuous time autoregressive (AR) processes driven by a Br...
We consider a multivariate continuous-time process, generated by a system of linear stochastic diffe...
We consider a multivariate continuous-time process, generated by a system of linear stochastic diffe...
We consider a multivariate continuous-time process, generated by a system of linear stochastic diffe...
discrete-time Markov chains and renewal processes exhibit convergence to stationarity. In the case o...
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...
International audienceAbstract The recent study by De Bruyne et al (2021 J. Stat. Mech. 123204), con...
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...
We deal with a continuous time Markov additive process where the environment is a Markov chain wit...
International audienceDiscretization of continuous time autoregressive (AR) processes driven by a Br...
International audienceDiscretization of continuous time autoregressive (AR) processes driven by a Br...
We consider a multivariate continuous-time process, generated by a system of linear stochastic diffe...
We consider a multivariate continuous-time process, generated by a system of linear stochastic diffe...
We consider a multivariate continuous-time process, generated by a system of linear stochastic diffe...
discrete-time Markov chains and renewal processes exhibit convergence to stationarity. In the case o...