AbstractWe consider some special classes of Lévy processes with no gaussian component whose Lévy measure is of the type π(dx)=eγxν(ex−1)dx, where ν is the density of the stable Lévy measure and γ is a positive parameter which depends on its characteristics. These processes were introduced in [M. E. Caballero, L. Chaumont, Conditioned stable Lévy processes and the Lamperti representation, J. Appl. Probab. 43 (2006) 967–983] as the underlying Lévy processes in the Lamperti representation of conditioned stable Lévy processes. In this paper, we compute explicitly the law of these Lévy processes at their first exit time from a finite or semi-finite interval, the law of their exponential functional and the first hitting time probability of a pair...
We establish integral tests and laws of the iterated logartihm for the upper envelope of the future ...
In this talk, we present a necessary and sufficient condition for the existence of recurrent extensi...
Published at http://dx.doi.org/10.1214/009117905000000611 in the Annals of Probability (http://www.i...
AbstractWe consider some special classes of Lévy processes with no gaussian component whose Lévy mea...
We consider some special classes of Lévy processes with no gaussian component whose Lévy measure is ...
Abstract: We establish integral tests in connection with laws of the iterated logarithm at 0 and at ...
An R d-valued Markov process X (x) t = (X 1,x 1 t ,. .. , X d,x d t), t ≥ 0, x ∈ R d is said to be m...
Using Lamperti’s relationship between Lévy processes and positive self-similar Markov processes (pss...
The aim of this note is to give a straightforward proof of a general version of the Ciesielski-Taylo...
By killing a stable Lévy process when it leaves the positive half-line, or by conditioning it to sta...
Abstract. The aim of this note is to give a straightforward proof of a general version of the Ciesie...
In this paper, we obtain a Lamperti type representation for real-valued self-similar Markov processe...
We establish integral tests and laws of the iterated logarithm at $0$ and at $+\infty$, for the uppe...
Self-similar Markov processes often arise in various part of probability theory as limits of rescale...
For a positive self-similar Markov process, $X$, we construct a local time for the random set, $\The...
We establish integral tests and laws of the iterated logartihm for the upper envelope of the future ...
In this talk, we present a necessary and sufficient condition for the existence of recurrent extensi...
Published at http://dx.doi.org/10.1214/009117905000000611 in the Annals of Probability (http://www.i...
AbstractWe consider some special classes of Lévy processes with no gaussian component whose Lévy mea...
We consider some special classes of Lévy processes with no gaussian component whose Lévy measure is ...
Abstract: We establish integral tests in connection with laws of the iterated logarithm at 0 and at ...
An R d-valued Markov process X (x) t = (X 1,x 1 t ,. .. , X d,x d t), t ≥ 0, x ∈ R d is said to be m...
Using Lamperti’s relationship between Lévy processes and positive self-similar Markov processes (pss...
The aim of this note is to give a straightforward proof of a general version of the Ciesielski-Taylo...
By killing a stable Lévy process when it leaves the positive half-line, or by conditioning it to sta...
Abstract. The aim of this note is to give a straightforward proof of a general version of the Ciesie...
In this paper, we obtain a Lamperti type representation for real-valued self-similar Markov processe...
We establish integral tests and laws of the iterated logarithm at $0$ and at $+\infty$, for the uppe...
Self-similar Markov processes often arise in various part of probability theory as limits of rescale...
For a positive self-similar Markov process, $X$, we construct a local time for the random set, $\The...
We establish integral tests and laws of the iterated logartihm for the upper envelope of the future ...
In this talk, we present a necessary and sufficient condition for the existence of recurrent extensi...
Published at http://dx.doi.org/10.1214/009117905000000611 in the Annals of Probability (http://www.i...