In this thesis, we study various notions of variation of certain stochastic processes, namely $p$-variation, pathwise $p$-th variation along sequence of partitions and $p$-th variation along sequence of partitions. We study these concepts for fractional Brownian motions and Rosenblatt processes. A fractional Brownian motion is a Gaussian process and it has been intensively developed and studied over the last two decades because of its importance in modeling various phenomena. On the other hand, a Rosenblatt process, which is a non- Gaussian process that can be used for modeling non-Gaussian fluctuations, has not been getting as much attention as fractional Brownian motion. For that reason, we concentrate in this thesis on this process and w...
In my talk I will discuss so-called “mixed ” models involving fractional Brownian motion and Wiener ...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
In this dissertation we introduce the realized two-step variation of stochastic processes and develo...
The first part of this thesis studies tail probabilities forelliptical distributions and probabiliti...
In recent years, the field of Fractional Brownian motion, Fractional Gaussian noise and long-range d...
We study several properties of the sub-fractional Brownian motion introduced by Bojdecki, Gorostiza ...
In the first part, we establish Itô's and Tanaka's formulas for the multidimensional bifractional Br...
Fractional Brownian motion is a nontrivial generalization of standard Brownian motion (Wie- ner proc...
Brownian motion, fractional Brownian motion (fBm) and Levy motion are stochastic processes with stat...
We consider the asymptotic behaviour of the realized power variation of processes of the form ¿t0usd...
9 pagesInternational audienceWe define and study the multiparameter fractional Brownian motion. This...
In this thesis, we deal with several persistence problems for fractional processes. Persistence conc...
This book is devoted to a number of stochastic models that display scale invariance. It primarily fo...
In this thesis, we study the statistical properties of non-linear transforms of Markov processes.The...
Properties of different models of fractional Brownian motions are discussed in detail. We shall coll...
In my talk I will discuss so-called “mixed ” models involving fractional Brownian motion and Wiener ...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
In this dissertation we introduce the realized two-step variation of stochastic processes and develo...
The first part of this thesis studies tail probabilities forelliptical distributions and probabiliti...
In recent years, the field of Fractional Brownian motion, Fractional Gaussian noise and long-range d...
We study several properties of the sub-fractional Brownian motion introduced by Bojdecki, Gorostiza ...
In the first part, we establish Itô's and Tanaka's formulas for the multidimensional bifractional Br...
Fractional Brownian motion is a nontrivial generalization of standard Brownian motion (Wie- ner proc...
Brownian motion, fractional Brownian motion (fBm) and Levy motion are stochastic processes with stat...
We consider the asymptotic behaviour of the realized power variation of processes of the form ¿t0usd...
9 pagesInternational audienceWe define and study the multiparameter fractional Brownian motion. This...
In this thesis, we deal with several persistence problems for fractional processes. Persistence conc...
This book is devoted to a number of stochastic models that display scale invariance. It primarily fo...
In this thesis, we study the statistical properties of non-linear transforms of Markov processes.The...
Properties of different models of fractional Brownian motions are discussed in detail. We shall coll...
In my talk I will discuss so-called “mixed ” models involving fractional Brownian motion and Wiener ...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
In this dissertation we introduce the realized two-step variation of stochastic processes and develo...