A recent theorem in [3] provided a link between a certain function of transition probabilities of a strong Markov process and the boundedness of the p-variation of its trajectories. Here one assumption of that theorem is relaxed and an example is constructed to show that the Markov property cannot be easily dispensed with
Some analytic and probabilistic properties of the weak Poincare ́ inequality are obtained. In partic...
We use nonstandard analysis to significantly generalize the well-known Markov chain ergodic theorem ...
This title considers the special of random processes known as semi-Markov processes. These possess t...
In this paper it is shown that a subprocess of a Markov process is markovian if a suitable condition...
International audienceWe investigate some asymptotic properties of general Markov processes conditio...
It is common, when dealing with quantum processes involving a subsystem of amuch larger composite cl...
AbstractSuppose {Pn(x, A)} denotes the transition law of a general state space Markov chain {Xn}. We...
Abstract. A Markovian bridge is a probability measure taken from a disintegration of the law of an i...
It is emphasized that non-Markovian processes, which occur for instance in the case of colored noise...
We consider processes which are functions of finite-state Markov chains. It is well known that such ...
l Introduction * Let (Ω, Σ, P) be a probability space and xt{o)) a Markov process defined on it. For...
A Markovian bridge is a probability measure taken from a disintegration of the law of an initial par...
Consider the continuous-time Markov Branching Process. In the critical case we consider a situation ...
Consider the limiting probability function of continuous-time Markov Branching Processes conditioned...
Dedicated to the memory of Lynda Singshinsuk. Abstract. The construction presented in this paper can...
Some analytic and probabilistic properties of the weak Poincare ́ inequality are obtained. In partic...
We use nonstandard analysis to significantly generalize the well-known Markov chain ergodic theorem ...
This title considers the special of random processes known as semi-Markov processes. These possess t...
In this paper it is shown that a subprocess of a Markov process is markovian if a suitable condition...
International audienceWe investigate some asymptotic properties of general Markov processes conditio...
It is common, when dealing with quantum processes involving a subsystem of amuch larger composite cl...
AbstractSuppose {Pn(x, A)} denotes the transition law of a general state space Markov chain {Xn}. We...
Abstract. A Markovian bridge is a probability measure taken from a disintegration of the law of an i...
It is emphasized that non-Markovian processes, which occur for instance in the case of colored noise...
We consider processes which are functions of finite-state Markov chains. It is well known that such ...
l Introduction * Let (Ω, Σ, P) be a probability space and xt{o)) a Markov process defined on it. For...
A Markovian bridge is a probability measure taken from a disintegration of the law of an initial par...
Consider the continuous-time Markov Branching Process. In the critical case we consider a situation ...
Consider the limiting probability function of continuous-time Markov Branching Processes conditioned...
Dedicated to the memory of Lynda Singshinsuk. Abstract. The construction presented in this paper can...
Some analytic and probabilistic properties of the weak Poincare ́ inequality are obtained. In partic...
We use nonstandard analysis to significantly generalize the well-known Markov chain ergodic theorem ...
This title considers the special of random processes known as semi-Markov processes. These possess t...
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