A classical result, due to Lamperti, establishes a one-to-one correspondence between a class of strictly positive Markov processes that are self-similar, and the class of one-dimensional Levy processes. This correspon-dence is obtained by suitably time-changing the exponential of the Levy process. In this paper we generalise Lamperti’s result to processes in n dimensions. For the representation we obtain, it is essential that the same time-change be applied to all coordinates of the processes involved. Also for the statement of the main result we need the proper concept of self-similarity in higher dimensions, referred to as multi-self-similarity in the paper. The special case where the Levy process is standard Brownian motion in n dimensi...
A Markov Additive Process is a bi-variate Markov process $(\xi,J)=\big((\xi_t,J_t),t\geq0\big)$ whic...
The purpose of this paper is to study the self-similar properties of discrete-time long memory proce...
31 pagesIn his 1972 paper, John Lamperti characterized all positive self-similar Markov processes as...
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...
We define a new type of self-similarity for one-parameter families of stochastic processes, which ap...
Positive self-similar Markov processes (pssMp) are positive Markov processes that satisfy the scalin...
We define a new type of self-similarity for one-parameter families of stochastic processes, which ap...
In this paper, we obtain a Lamperti type representation for real-valued self-similar Markov processe...
We study the concept of self-similarity with respect to stochastic time change. The negative binomia...
In this talk, we present a necessary and sufficient condition for the existence of recurrent extensi...
In this paper we obtain a Lamperti type representation for real-valued self-similar Markov processes...
This work is concerned with the analysis of self-similar stochastic pro-cesses, where statistical se...
Abstract: This note surveys some recent results on self-similar Markov processes. Since the research...
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...
A Markov Additive Process is a bi-variate Markov process $(\xi,J)=\big((\xi_t,J_t),t\geq0\big)$ whic...
The purpose of this paper is to study the self-similar properties of discrete-time long memory proce...
31 pagesIn his 1972 paper, John Lamperti characterized all positive self-similar Markov processes as...
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...
We define a new type of self-similarity for one-parameter families of stochastic processes, which ap...
Positive self-similar Markov processes (pssMp) are positive Markov processes that satisfy the scalin...
We define a new type of self-similarity for one-parameter families of stochastic processes, which ap...
In this paper, we obtain a Lamperti type representation for real-valued self-similar Markov processe...
We study the concept of self-similarity with respect to stochastic time change. The negative binomia...
In this talk, we present a necessary and sufficient condition for the existence of recurrent extensi...
In this paper we obtain a Lamperti type representation for real-valued self-similar Markov processes...
This work is concerned with the analysis of self-similar stochastic pro-cesses, where statistical se...
Abstract: This note surveys some recent results on self-similar Markov processes. Since the research...
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...
A Markov Additive Process is a bi-variate Markov process $(\xi,J)=\big((\xi_t,J_t),t\geq0\big)$ whic...
The purpose of this paper is to study the self-similar properties of discrete-time long memory proce...
31 pagesIn his 1972 paper, John Lamperti characterized all positive self-similar Markov processes as...