In this paper we study positive self-similar Markov processes obtained by (partially) resurrecting a strictly $\alpha$-stable process at its first exit time from $(0,\infty)$. We construct those processes by using the Lamperti transform. We explain their long term behavior and give conditions for absorption at 0 in finite time. In case the process is absorbed at 0 in finite time, we give a necessary and sufficient condition for the existence of a recurrent extension. The motivation to study resurrected processes comes from the fact that their jump kernels may explode at zero. We establish sharp two-sided jump kernel estimates for a large class of resurrected stable processes.Comment: Introduction rewritten and some results improved; 39 pp, ...
This paper addresses the question of predicting when a positive self-similar Markov process XX attai...
For positive recurrent jumping-in diffusions with small jumps, we establish distributional limits of...
International audienceThe main purpose of this work is to study self-similar branching Markov chains...
By killing a stable Lévy process when it leaves the positive half-line, or by conditioning it to sta...
For a positive self-similar Markov process, $X$, we construct a local time for the random set, $\The...
In this paper we obtain a Lamperti type representation for real-valued self-similar Markov processes...
We show that any Rd∖{0}Rd∖{0}-valued self-similar Markov process XX, with index α>0α>0 can be repres...
We establish integral tests and laws of the iterated logarithm for the lower envelope of positive se...
We establish integral tests and laws of the iterated logarithm at $0$ and at $+\infty$, for the uppe...
A self-stabilizing processes {Z(t), t ∈ [t0,t1)} is a random process which when localized, that is s...
We establish integral tests and laws of the iterated logartihm for the upper envelope of the future ...
This version: 09 - 02 -2005To appear in Ann. Prob., 2005Using Lamperti's relationship between Lévy p...
Consider a continuous-time Markov process with transition rates matrix Q in the state space Λ ⋃ {0}....
AbstractWe develop criteria for recurrence and transience of one-dimensional Markov processes which ...
Fluorescing molecules (fluorophores) that stochastically switch between photon-emitting and dark sta...
This paper addresses the question of predicting when a positive self-similar Markov process XX attai...
For positive recurrent jumping-in diffusions with small jumps, we establish distributional limits of...
International audienceThe main purpose of this work is to study self-similar branching Markov chains...
By killing a stable Lévy process when it leaves the positive half-line, or by conditioning it to sta...
For a positive self-similar Markov process, $X$, we construct a local time for the random set, $\The...
In this paper we obtain a Lamperti type representation for real-valued self-similar Markov processes...
We show that any Rd∖{0}Rd∖{0}-valued self-similar Markov process XX, with index α>0α>0 can be repres...
We establish integral tests and laws of the iterated logarithm for the lower envelope of positive se...
We establish integral tests and laws of the iterated logarithm at $0$ and at $+\infty$, for the uppe...
A self-stabilizing processes {Z(t), t ∈ [t0,t1)} is a random process which when localized, that is s...
We establish integral tests and laws of the iterated logartihm for the upper envelope of the future ...
This version: 09 - 02 -2005To appear in Ann. Prob., 2005Using Lamperti's relationship between Lévy p...
Consider a continuous-time Markov process with transition rates matrix Q in the state space Λ ⋃ {0}....
AbstractWe develop criteria for recurrence and transience of one-dimensional Markov processes which ...
Fluorescing molecules (fluorophores) that stochastically switch between photon-emitting and dark sta...
This paper addresses the question of predicting when a positive self-similar Markov process XX attai...
For positive recurrent jumping-in diffusions with small jumps, we establish distributional limits of...
International audienceThe main purpose of this work is to study self-similar branching Markov chains...