The Lamperti transformation of a self-similar process is a strictly stationary process. In particular, the fractional Brownian motion transforms to the second order stationary Gaussian process. This process is represented as a series of independent processes. The terms of this series are Ornstein-Uhlenbeck processes if $H1/2$. From the representation effective approximations of the process are derived. The corresponding results for the fractional Brownian motion are obtained by applying the inverse Lamperti transformation. Implications for simulating the fractional Brownian motion are discussed
Some of the most significant constructions of the fractional brownian motion developed recently are ...
This work is concerned with the analysis of self-similar stochastic pro-cesses, where statistical se...
Abstract. We consider simulation of Sub ’ð Þ-processes that are weakly selfsimilar with stationary i...
The Lamperti transformation of a self-similar process is a stationary process. In particular, the fr...
The Lamperti transformation of a self-similar process is a stationary process.In particular, the fra...
Abstract The classical stationary Ornstein-Uhlenbeck process can be obtained in two different ways. ...
"In this paper we establish the uniqueness of the Lamperti transformation leading from self-similar ...
We introduce a class of stochastic differential equations driven by fractional Brownian motion which...
52 pages, 3 figures, minor typos fixedEigenproblems frequently arise in theory and applications of s...
AbstractA self-similar process Z(t) has stationary increments and is invariant in law under the tran...
We define a new type of self-similarity for one-parameter families of stochastic processes, which ap...
Fractional Brownian motion is a nontrivial generalization of standard Brownian motion (Wie- ner proc...
We investigate the general problem of estimating the translation of a stochastic process governed by...
We study several properties of the sub-fractional Brownian motion introduced by Bojdecki, Gorostiza ...
9 pagesInternational audienceWe define and study the multiparameter fractional Brownian motion. This...
Some of the most significant constructions of the fractional brownian motion developed recently are ...
This work is concerned with the analysis of self-similar stochastic pro-cesses, where statistical se...
Abstract. We consider simulation of Sub ’ð Þ-processes that are weakly selfsimilar with stationary i...
The Lamperti transformation of a self-similar process is a stationary process. In particular, the fr...
The Lamperti transformation of a self-similar process is a stationary process.In particular, the fra...
Abstract The classical stationary Ornstein-Uhlenbeck process can be obtained in two different ways. ...
"In this paper we establish the uniqueness of the Lamperti transformation leading from self-similar ...
We introduce a class of stochastic differential equations driven by fractional Brownian motion which...
52 pages, 3 figures, minor typos fixedEigenproblems frequently arise in theory and applications of s...
AbstractA self-similar process Z(t) has stationary increments and is invariant in law under the tran...
We define a new type of self-similarity for one-parameter families of stochastic processes, which ap...
Fractional Brownian motion is a nontrivial generalization of standard Brownian motion (Wie- ner proc...
We investigate the general problem of estimating the translation of a stochastic process governed by...
We study several properties of the sub-fractional Brownian motion introduced by Bojdecki, Gorostiza ...
9 pagesInternational audienceWe define and study the multiparameter fractional Brownian motion. This...
Some of the most significant constructions of the fractional brownian motion developed recently are ...
This work is concerned with the analysis of self-similar stochastic pro-cesses, where statistical se...
Abstract. We consider simulation of Sub ’ð Þ-processes that are weakly selfsimilar with stationary i...