Positive self-similar Markov processes (pssMp) are positive Markov processes that satisfy the scaling property and it is known that can be represented as the exponential of a time-changed Lévy process via Lamperti representation. In this work, we are interested in the following problem: what happens if we consider Markov processes in dimension 1 or 2 that satisfy self-similarity properties of a more general form than a scaling property? Can they all be represented as a function of a time-changed Lévy process? If not, how can Lamperti representation be generalized? We show that, not surprisingly, a Markovian process in dimension 1 that satisfies self-similarity properties of a general form can indeed be represented as a function of a time-ch...
We start by providing an explicit characterization and analytical properties, including the persiste...
AbstractWe consider some special classes of Lévy processes with no gaussian component whose Lévy mea...
Let ξ be a subordinator with Laplace exponent Φ, I=∫∞0exp(−ξs)ds the so-called exponential functiona...
In this paper we obtain a Lamperti type representation for real-valued self-similar Markov processes...
A classical result, due to Lamperti, establishes a one-to-one correspondence between a class of stri...
In this talk, we present a necessary and sufficient condition for the existence of recurrent extensi...
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...
We establish integral tests and laws of the iterated logartihm for the upper envelope of the future ...
We establish integral tests and laws of the iterated logarithm for the lower envelope of positive se...
International audienceThe Lamperti correspondence gives a prominent role to two random time changes:...
AbstractWe establish Lamperti representations for semi-stable Markov processes in locally compact gr...
We establish integral tests and laws of the iterated logarithm at $0$ and at $+\infty$, for the uppe...
AbstractA self-similar process Z(t) has stationary increments and is invariant in law under the tran...
A Markov Additive Process is a bi-variate Markov process $(\xi,J)=\big((\xi_t,J_t),t\geq0\big)$ whic...
We start by providing an explicit characterization and analytical properties, including the persiste...
AbstractWe consider some special classes of Lévy processes with no gaussian component whose Lévy mea...
Let ξ be a subordinator with Laplace exponent Φ, I=∫∞0exp(−ξs)ds the so-called exponential functiona...
In this paper we obtain a Lamperti type representation for real-valued self-similar Markov processes...
A classical result, due to Lamperti, establishes a one-to-one correspondence between a class of stri...
In this talk, we present a necessary and sufficient condition for the existence of recurrent extensi...
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...
We establish integral tests and laws of the iterated logartihm for the upper envelope of the future ...
We establish integral tests and laws of the iterated logarithm for the lower envelope of positive se...
International audienceThe Lamperti correspondence gives a prominent role to two random time changes:...
AbstractWe establish Lamperti representations for semi-stable Markov processes in locally compact gr...
We establish integral tests and laws of the iterated logarithm at $0$ and at $+\infty$, for the uppe...
AbstractA self-similar process Z(t) has stationary increments and is invariant in law under the tran...
A Markov Additive Process is a bi-variate Markov process $(\xi,J)=\big((\xi_t,J_t),t\geq0\big)$ whic...
We start by providing an explicit characterization and analytical properties, including the persiste...
AbstractWe consider some special classes of Lévy processes with no gaussian component whose Lévy mea...
Let ξ be a subordinator with Laplace exponent Φ, I=∫∞0exp(−ξs)ds the so-called exponential functiona...