AbstractIn this paper, we consider some families of one-dimensional locally infinitely divisible Markov processes {ηtϵ}0≤t≤T with frequent small jumps. For a smooth functional F(x[0,T]) on space D[0,T], the following asymptotic expansions for expectations are proved: as ϵ→0,EϵF(ηϵ[0,T])=EF(η0[0,T])+∑i=1sϵi/2EAiF(η0[0,T])+o(ϵs/2) for some Gaussian diffusion η0 as the weak limit of ηϵ, suitable differential operators Ai, and a positive integer s depending on the smoothness of F
International audienceWe revisit functional central limit theorems for additive functionals of ergod...
In this paper we formulate and prove the almost sure functional limit theorem in fairly general case...
We present an algorithm for approximating one-dimensional regular continuous strong Markov processes...
AbstractIn this paper, we consider some families of one-dimensional locally infinitely divisible Mar...
Markov processes have been widely used in physical science and finance to model stochastic phenomena...
We consider a Markov process $X$, which is the solution of a stochastic differential equation driven...
This thesis investigates the small time asymptotics of solutions of stochastic equations in infinite...
AbstractWe study the asymptotic properties of the integral functionals of solutions of Ito stochasti...
For this thesis, we derive new applications and theoretical results for some multidimensional mean-r...
We approximate stochastic processes in finite dimension by dynamical systems. We provide trajector...
Let {Xt,t≥1} be a moving average process defined byXt = ∞∑j=0bjξt-j , where {bj,j≥0} is a sequence o...
AbstractThe aim of this work is the study of limit points of Gaussian processes with continuous path...
We consider symmetric Markov chains on the integer lattice that possibly have arbitrarily large jump...
In this thesis, asymptotic properties of two variants of one-dimensional diffusion processes, which ...
We study a reaction-diffusion evolution equation perturbed by a Gaussian noise. Here the leading ope...
International audienceWe revisit functional central limit theorems for additive functionals of ergod...
In this paper we formulate and prove the almost sure functional limit theorem in fairly general case...
We present an algorithm for approximating one-dimensional regular continuous strong Markov processes...
AbstractIn this paper, we consider some families of one-dimensional locally infinitely divisible Mar...
Markov processes have been widely used in physical science and finance to model stochastic phenomena...
We consider a Markov process $X$, which is the solution of a stochastic differential equation driven...
This thesis investigates the small time asymptotics of solutions of stochastic equations in infinite...
AbstractWe study the asymptotic properties of the integral functionals of solutions of Ito stochasti...
For this thesis, we derive new applications and theoretical results for some multidimensional mean-r...
We approximate stochastic processes in finite dimension by dynamical systems. We provide trajector...
Let {Xt,t≥1} be a moving average process defined byXt = ∞∑j=0bjξt-j , where {bj,j≥0} is a sequence o...
AbstractThe aim of this work is the study of limit points of Gaussian processes with continuous path...
We consider symmetric Markov chains on the integer lattice that possibly have arbitrarily large jump...
In this thesis, asymptotic properties of two variants of one-dimensional diffusion processes, which ...
We study a reaction-diffusion evolution equation perturbed by a Gaussian noise. Here the leading ope...
International audienceWe revisit functional central limit theorems for additive functionals of ergod...
In this paper we formulate and prove the almost sure functional limit theorem in fairly general case...
We present an algorithm for approximating one-dimensional regular continuous strong Markov processes...