In this PhD thesis, we are concerned with some properties of a class of self-similar stochastic processes with stationary increments. These processes are represented by multiple Wiener-Itô integrals. In the first chapter, we study geometric properties of the sample path of this type of processes. Specifically, we obtain an almost sure wavelet expansion which, in turn, allows us to compute an upper bound for the uniform modulus of continuity, an upper bound for the asymptotic growth at infinity of the processes and the almost sure values of the pointwise and local Hölder exponents at any points. Moreover, we obtain lower and upper bounds for the Hausdorff dimensions of the graph and the image of multidimensional anisotropic versions of the c...
We prove that we can identify three types of pointwise behaviour in the regularity of the (generaliz...
In the first part, we study the laws of some stochastic integrals. After the introducing case of Poi...
AbstractFor a one-parameter process of the form Xt=X0+∫t0φsdWs+∫t0ψsds, where W is a Wiener process ...
In this PhD thesis, we are concerned with some properties of a class of self-similar stochastic proc...
In this PhD thesis, we are concerned with some properties of a class of self-similar stochastic proc...
Dans ce travail de thèse, nous nous intéressons à certaines propriétés d'une classe de processus sto...
By using chaos expansion into multiple stochastic integrals, we make a wavelet analysis of two self-...
To appear in "Theory of Probability and its Applications"International audienceBy using multiple Wie...
We analyze the Rosenblatt process which is a selfsimilar process with stationary increments and whi...
International audienceBy using chaos expansion into multiple stochastic integrals, we make a wavelet...
21 pagesWe study a class of self similar processes with stationary increments belonging to higher or...
Let {X(t),t∈ T} be a continuous homogeneous stochastic process with independent increments. A review...
Dans cette thèse, on s'intéresse à des extensions du mouvement brownien fractionnaire qui appartienn...
Cette thèse développe un formalisme intrinsèque de calcul stochastique de type Malliavin-Skorohod po...
Abstract. We analyze the Rosenblatt process which is a selfsimilar process with stationary increment...
We prove that we can identify three types of pointwise behaviour in the regularity of the (generaliz...
In the first part, we study the laws of some stochastic integrals. After the introducing case of Poi...
AbstractFor a one-parameter process of the form Xt=X0+∫t0φsdWs+∫t0ψsds, where W is a Wiener process ...
In this PhD thesis, we are concerned with some properties of a class of self-similar stochastic proc...
In this PhD thesis, we are concerned with some properties of a class of self-similar stochastic proc...
Dans ce travail de thèse, nous nous intéressons à certaines propriétés d'une classe de processus sto...
By using chaos expansion into multiple stochastic integrals, we make a wavelet analysis of two self-...
To appear in "Theory of Probability and its Applications"International audienceBy using multiple Wie...
We analyze the Rosenblatt process which is a selfsimilar process with stationary increments and whi...
International audienceBy using chaos expansion into multiple stochastic integrals, we make a wavelet...
21 pagesWe study a class of self similar processes with stationary increments belonging to higher or...
Let {X(t),t∈ T} be a continuous homogeneous stochastic process with independent increments. A review...
Dans cette thèse, on s'intéresse à des extensions du mouvement brownien fractionnaire qui appartienn...
Cette thèse développe un formalisme intrinsèque de calcul stochastique de type Malliavin-Skorohod po...
Abstract. We analyze the Rosenblatt process which is a selfsimilar process with stationary increment...
We prove that we can identify three types of pointwise behaviour in the regularity of the (generaliz...
In the first part, we study the laws of some stochastic integrals. After the introducing case of Poi...
AbstractFor a one-parameter process of the form Xt=X0+∫t0φsdWs+∫t0ψsds, where W is a Wiener process ...