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 multi-self-similar with index (α 1 ,. .. , α d) ∈ [0, ∞) d if the identity in law (c i X i,x i /c i t ; i = 1,. .. , d) t≥0 (d) = (X (x) ct) t≥0 , where c = d i=1 c α i i , is satisfied for all c 1 ,. .. , c d > 0 and all starting point x. Multi-self-similar Markov processes were introduced by Jacobsen and Yor [11] in the aim of extending the Lamperti transformation of positive self-similar Markov processes to R d +-valued processes. This paper aims at giving a complete description of all R d-valued multi-self-similar Markov processes. We show that their state space is always a union of open orthants with 0 as the only absorbing state and that...
38 pagesWe present a new approach to positive self-similar Markov processes (pssMps) by reformulatin...
Abstract: We establish integral tests in connection with laws of the iterated logarithm at 0 and at ...
For a positive self-similar Markov process, X, we construct a local time for the random set, Θ, of t...
A classical result, due to Lamperti, establishes a one-to-one correspondence between a class of stri...
In this paper, we obtain a Lamperti type representation for real-valued self-similar Markov processe...
In this talk, we present a necessary and sufficient condition for the existence of recurrent extensi...
In this talk, we consider self-similar Markov processes defined on $R^d$ without the origin, which a...
AbstractWe consider some special classes of Lévy processes with no gaussian component whose Lévy mea...
Abstract: This note surveys some recent results on self-similar Markov processes. Since the research...
Using Lamperti’s relationship between Lévy processes and positive self-similar Markov processes (pss...
Self-similar Markov processes often arise in various part of probability theory as limits of rescale...
Let IN0 denote the set of nonnegative integers. We consider IN0-valued analogues of self-similar pro...
31 pagesIn his 1972 paper, John Lamperti characterized all positive self-similar Markov processes as...
condition, excursion Let X = (Xt)t≥0 be a self-similar Markov process with values in [0,∞[, such tha...
As stochastic processes are not uniquely defined by their marginal distributions, it is of interest ...
38 pagesWe present a new approach to positive self-similar Markov processes (pssMps) by reformulatin...
Abstract: We establish integral tests in connection with laws of the iterated logarithm at 0 and at ...
For a positive self-similar Markov process, X, we construct a local time for the random set, Θ, of t...
A classical result, due to Lamperti, establishes a one-to-one correspondence between a class of stri...
In this paper, we obtain a Lamperti type representation for real-valued self-similar Markov processe...
In this talk, we present a necessary and sufficient condition for the existence of recurrent extensi...
In this talk, we consider self-similar Markov processes defined on $R^d$ without the origin, which a...
AbstractWe consider some special classes of Lévy processes with no gaussian component whose Lévy mea...
Abstract: This note surveys some recent results on self-similar Markov processes. Since the research...
Using Lamperti’s relationship between Lévy processes and positive self-similar Markov processes (pss...
Self-similar Markov processes often arise in various part of probability theory as limits of rescale...
Let IN0 denote the set of nonnegative integers. We consider IN0-valued analogues of self-similar pro...
31 pagesIn his 1972 paper, John Lamperti characterized all positive self-similar Markov processes as...
condition, excursion Let X = (Xt)t≥0 be a self-similar Markov process with values in [0,∞[, such tha...
As stochastic processes are not uniquely defined by their marginal distributions, it is of interest ...
38 pagesWe present a new approach to positive self-similar Markov processes (pssMps) by reformulatin...
Abstract: We establish integral tests in connection with laws of the iterated logarithm at 0 and at ...
For a positive self-similar Markov process, X, we construct a local time for the random set, Θ, of t...