AbstractIn this paper we prove, mainly, three probabilistic inequalities with which we can control the exponential moments of different Wiener functionals. The first one is a general exponential inequality for the functionals of a Markov process defined with a symmetric Dirichlet form under its invariant probability. The second one is for the Wiener functionals whose derivatives' norms' square are exponentially integrable and the third one is for the Wiener functionals of the divergence for
In this work we study the necessary and sufficient conditions for a positive random variable whose e...
We obtain Rosenthal-type inequalities and an estimate for large-deviation probabilities in the case ...
AbstractIn this paper we prove two relatively compact criterions in some Lp-spaces(p>1) for the set ...
AbstractIn this paper we prove, mainly, three probabilistic inequalities with which we can control t...
In several applications, as limit theorems, large deviations, degree of Wiener maps, calculation of ...
AbstractThis paper consists of three parts. In Part I, we obtain results on the integrability of fun...
Using a representation as an infinite linear combination of chisquare independent random variables, ...
AbstractIn this article we present a method for developing certain Wiener integrals in an asymptotic...
Sucient conditions are found for stochastic convolution integrals driven by a Wiener process in a Hi...
AbstractLet F be a square integrable random variable on the classical Wiener space and let us denote...
In this paper, we describe a class of Wiener functionals that are 'indeterminate by their moments', ...
16 pages. A typo in the statement of Theorem 1.1 has been corrected.We prove infinite-dimensional se...
summary:Space-time regularity of stochastic convolution integrals J = {\int^\cdot_0 S(\cdot-r)Z(r)W(...
It is proven that, for any deterministic L2[0,1] function ϕ(t), E(exp∫10ϕ(t)dwt ∣ ∥w∥ \u3c ε)→ 1 as...
The arbitrary functions principle says that the fractional part of $nX$ converges stably to an indep...
In this work we study the necessary and sufficient conditions for a positive random variable whose e...
We obtain Rosenthal-type inequalities and an estimate for large-deviation probabilities in the case ...
AbstractIn this paper we prove two relatively compact criterions in some Lp-spaces(p>1) for the set ...
AbstractIn this paper we prove, mainly, three probabilistic inequalities with which we can control t...
In several applications, as limit theorems, large deviations, degree of Wiener maps, calculation of ...
AbstractThis paper consists of three parts. In Part I, we obtain results on the integrability of fun...
Using a representation as an infinite linear combination of chisquare independent random variables, ...
AbstractIn this article we present a method for developing certain Wiener integrals in an asymptotic...
Sucient conditions are found for stochastic convolution integrals driven by a Wiener process in a Hi...
AbstractLet F be a square integrable random variable on the classical Wiener space and let us denote...
In this paper, we describe a class of Wiener functionals that are 'indeterminate by their moments', ...
16 pages. A typo in the statement of Theorem 1.1 has been corrected.We prove infinite-dimensional se...
summary:Space-time regularity of stochastic convolution integrals J = {\int^\cdot_0 S(\cdot-r)Z(r)W(...
It is proven that, for any deterministic L2[0,1] function ϕ(t), E(exp∫10ϕ(t)dwt ∣ ∥w∥ \u3c ε)→ 1 as...
The arbitrary functions principle says that the fractional part of $nX$ converges stably to an indep...
In this work we study the necessary and sufficient conditions for a positive random variable whose e...
We obtain Rosenthal-type inequalities and an estimate for large-deviation probabilities in the case ...
AbstractIn this paper we prove two relatively compact criterions in some Lp-spaces(p>1) for the set ...