31 pages. To appear in the book "Recent advances in stochastic dynamics and stochastic analysis", published by World ScientificWe provide an overview of some recent techniques involving the Malliavin calculus of variations and the so-called ``Stein's method'' for the Gaussian approximations of probability distributions. Special attention is devoted to establishing explicit connections with the classic method of moments: in particular, we use interpolation techniques in order to deduce some new estimates for the moments of random variables belonging to a fixed Wiener chaos. As an illustration, a class of central limit theorems associated with the quadratic variation of a fractional Brownian motion is studied in detail
27 pages. To appear in The Annals of ProbabilityWe show how to detect optimal Berry-Esséen bounds in...
The purpose of this thesis is to investigate the use of Malliavin Calculus in both parametric and no...
This thesis focuses on an analytical and statistical study of stochastic differential equations (SDE...
Abstract: We provide an overview of some recent techniques involving the Malliavin calculus of varia...
We use recent tools from stochastic analysis (such as Stein's method and Malliavin calculus) to stud...
Initiated around the year 2007, the Malliavin–Stein approach to probabilistic approximations combine...
In this thesis we apply the Malliavin calculus to statistical estimation of parameters of stochastic...
To appear in "Stochastic Analysis and Applications"International audienceUsing the Stein method on W...
Cette thèse porte essentiellement sur une étude analytique et statistique des équations différentiel...
Overview. In a seminal paper of 2005, Nualart and Peccati [40] discovered a surprising central limit...
In this dissertation we present several applications of Malliavin calculus, both to the statistical ...
This thesis is organized in three distinct parts, all of which focus on the application of the Malli...
39 pages; Two sections added; To appear in PTRFWe combine Malliavin calculus with Stein's method, in...
40 pagesWe study multi-dimensional normal approximations on the Poisson space by means of Malliavin ...
18 pagesInternational audienceWe combine Stein's method with Malliavin calculus in order to obtain e...
27 pages. To appear in The Annals of ProbabilityWe show how to detect optimal Berry-Esséen bounds in...
The purpose of this thesis is to investigate the use of Malliavin Calculus in both parametric and no...
This thesis focuses on an analytical and statistical study of stochastic differential equations (SDE...
Abstract: We provide an overview of some recent techniques involving the Malliavin calculus of varia...
We use recent tools from stochastic analysis (such as Stein's method and Malliavin calculus) to stud...
Initiated around the year 2007, the Malliavin–Stein approach to probabilistic approximations combine...
In this thesis we apply the Malliavin calculus to statistical estimation of parameters of stochastic...
To appear in "Stochastic Analysis and Applications"International audienceUsing the Stein method on W...
Cette thèse porte essentiellement sur une étude analytique et statistique des équations différentiel...
Overview. In a seminal paper of 2005, Nualart and Peccati [40] discovered a surprising central limit...
In this dissertation we present several applications of Malliavin calculus, both to the statistical ...
This thesis is organized in three distinct parts, all of which focus on the application of the Malli...
39 pages; Two sections added; To appear in PTRFWe combine Malliavin calculus with Stein's method, in...
40 pagesWe study multi-dimensional normal approximations on the Poisson space by means of Malliavin ...
18 pagesInternational audienceWe combine Stein's method with Malliavin calculus in order to obtain e...
27 pages. To appear in The Annals of ProbabilityWe show how to detect optimal Berry-Esséen bounds in...
The purpose of this thesis is to investigate the use of Malliavin Calculus in both parametric and no...
This thesis focuses on an analytical and statistical study of stochastic differential equations (SDE...