activity
19922020
most citedWeak convergence of error processes in discretizations of stochastic integrals and Besov spaces

27 citations · 54 across the 12 of their papers we have counts for

collaborators

16 papers

math.FA2020

On the sharpness of embeddings of Hölder spaces into Gaussian Besov spaces

Stefan Geiss

For an interpolation pair of Banach spaces with we use vectors that satisfy an extremal property with respect to the…

math.PR2020

On Riemann-Liouville type operators, BMO, gradient estimates in the Lévy-Itô space, and approximation

Stefan Geiss, Tran-Thuan Nguyen

We discuss in a stochastic framework the interplay between Riemann-Liouville type operators applied to stochastic processes, real interpolation, bounded mean oscillation, and an ap…

math.PR2019

Donsker-Type Theorem for BSDEs: Rate of Convergence

Philippe Briand, Christel Geiss, Stefan Geiss +1

In this paper, we study in the Markovian case the rate of convergence in the Wasserstein distance of an approximation of the solution to a BSDE given by a BSDE which is driven by a…

math.PR2018

On decoupling in Banach spaces

Sonja Cox, Stefan Geiss

We consider decoupling inequalities for random variables taking values in a Banach space . We restrict the class of distributions that appear as conditional distributions while…

math.PR2014

Decoupling on the Wiener Space, Related Besov Spaces, and Applications to BSDEs

Stefan Geiss, Juha Ylinen

We introduce a decoupling method on the Wiener space to define a wide class of an\-iso\-tro\-pic Besov spaces. The decoupling method is based on a general distributional approach a…

math.PR2013★ 5 cited

First time to exit of a continuous Itô process: general moment estimates and L1-convergence rate for discrete time approximations

Bruno Bouchard, Stefan Geiss, Emmanuel Gobet

We establish general moment estimates for the discrete and continuous exit times of a general Itô process in terms of the distance to the boundary. These estimates serve as interme…