AbstractIt is shown that increasing continuous semimarkov processes are functional inverses of increasing processes with independent (non-stationary) increments. In particular, every increasing continuous strong Markov process has deterministic paths, up to random killing
AbstractWe consider some classes of stationary, counting-measure-valued Markov processes and their c...
AbstractA general metatheorem is proved which reduces a wide class of statements about continuous ti...
AbstractCertain properties of continuous-state branching processes are studied via the random time-c...
AbstractIt is shown that increasing continuous semimarkov processes are functional inverses of incre...
This title considers the special of random processes known as semi-Markov processes. These possess t...
A semi‐Markov process is a generalization of continuous‐time Markov chain, so that the sojourn times...
Using two simple examples, the continuous-time random walk as well as a two state Markov chain, the ...
AbstractWe prove necessary and sufficient conditions for the transience of the non-zero states in a ...
Let us consider a continuous time Markov additive process with cadlag paths and a sequence of ran...
We investigate a piecewise-deterministic Markov process, evolving on a Polish metric space, whose d...
We examine a piecewise deterministic Markov process, whose whole randomness stems from the jumps, wh...
A new construction of regeneration times is exploited to prove ergodic and renewal theorems for semi...
The book presents an in-depth study of arbitrary one-dimensional continuous strong Markov processes ...
This paper establishes exponential convergence to a unique quasi-stationary distribution in the tota...
v4: more details and a fix for the constructive proof of the bracket condition.We study a class of P...
AbstractWe consider some classes of stationary, counting-measure-valued Markov processes and their c...
AbstractA general metatheorem is proved which reduces a wide class of statements about continuous ti...
AbstractCertain properties of continuous-state branching processes are studied via the random time-c...
AbstractIt is shown that increasing continuous semimarkov processes are functional inverses of incre...
This title considers the special of random processes known as semi-Markov processes. These possess t...
A semi‐Markov process is a generalization of continuous‐time Markov chain, so that the sojourn times...
Using two simple examples, the continuous-time random walk as well as a two state Markov chain, the ...
AbstractWe prove necessary and sufficient conditions for the transience of the non-zero states in a ...
Let us consider a continuous time Markov additive process with cadlag paths and a sequence of ran...
We investigate a piecewise-deterministic Markov process, evolving on a Polish metric space, whose d...
We examine a piecewise deterministic Markov process, whose whole randomness stems from the jumps, wh...
A new construction of regeneration times is exploited to prove ergodic and renewal theorems for semi...
The book presents an in-depth study of arbitrary one-dimensional continuous strong Markov processes ...
This paper establishes exponential convergence to a unique quasi-stationary distribution in the tota...
v4: more details and a fix for the constructive proof of the bracket condition.We study a class of P...
AbstractWe consider some classes of stationary, counting-measure-valued Markov processes and their c...
AbstractA general metatheorem is proved which reduces a wide class of statements about continuous ti...
AbstractCertain properties of continuous-state branching processes are studied via the random time-c...
DOI
Add to ORKG