AbstractIn 1951, P. Lévy represented the Euler and Bernoulli numbers in terms of the moments of Lévyʼs stochastic area. Recently the authors extended his result to the case of Eulerian polynomials of types A and B. In this paper, we continue to apply the same method to the Euler and Bernoulli polynomials, and will express these polynomials with the use of Lévyʼs stochastic area. Moreover, a natural problem, arising from such representations, to calculate the expectations of polynomials of the stochastic area and the norm of the Brownian motion will be solved
In this paper for real Gaussian stochastic processes including Brownian bridge the approximate formu...
In this article, we study predictable projections of stochastic integrals with respect to the confor...
International audienceUsing general identities for difference operators, as well as a technique of s...
AbstractIn 1951, P. Lévy represented the Euler and Bernoulli numbers in terms of the moments of Lévy...
Lévy’s stochastic area for planar Brownian motion is the difference of two iterated integrals of sec...
Introduction. Connections between special algebraic polynomials and stochastic integrals have a long...
The main purpose of this article is to derive several convolutions for generalized Bernoulli and Eul...
AbstractThe purpose of this paper is to prove new integral represenlations for Bernoulli and Euler p...
We study a family of quantum analogs of Lévy's stochastic area for planar Brownian motion depending ...
By a symbolic method, we introduce multivariate Bernoulli and Euler polynomials as powers of polynom...
In this paper, we review the theory of time space-harmonic polynomials developed by using a symbol...
AbstractConsider an L1-continuous functional ℓ on the vector space of polynomials of Brownian motion...
The theory of fractional Brownian motion and other long-memory processes are addressed in this volum...
AbstractBy a symbolic method, we introduce multivariate Bernoulli and Euler polynomials as powers of...
In this article, the Bernoulli polynomials are generalised and some properties of the resulting gene...
In this paper for real Gaussian stochastic processes including Brownian bridge the approximate formu...
In this article, we study predictable projections of stochastic integrals with respect to the confor...
International audienceUsing general identities for difference operators, as well as a technique of s...
AbstractIn 1951, P. Lévy represented the Euler and Bernoulli numbers in terms of the moments of Lévy...
Lévy’s stochastic area for planar Brownian motion is the difference of two iterated integrals of sec...
Introduction. Connections between special algebraic polynomials and stochastic integrals have a long...
The main purpose of this article is to derive several convolutions for generalized Bernoulli and Eul...
AbstractThe purpose of this paper is to prove new integral represenlations for Bernoulli and Euler p...
We study a family of quantum analogs of Lévy's stochastic area for planar Brownian motion depending ...
By a symbolic method, we introduce multivariate Bernoulli and Euler polynomials as powers of polynom...
In this paper, we review the theory of time space-harmonic polynomials developed by using a symbol...
AbstractConsider an L1-continuous functional ℓ on the vector space of polynomials of Brownian motion...
The theory of fractional Brownian motion and other long-memory processes are addressed in this volum...
AbstractBy a symbolic method, we introduce multivariate Bernoulli and Euler polynomials as powers of...
In this article, the Bernoulli polynomials are generalised and some properties of the resulting gene...
In this paper for real Gaussian stochastic processes including Brownian bridge the approximate formu...
In this article, we study predictable projections of stochastic integrals with respect to the confor...
International audienceUsing general identities for difference operators, as well as a technique of s...