activity
20172022
most citedA strong order method for SDEs with discontinuous drift coefficient

3 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

math.PR2022

Existence, uniqueness and approximation of solutions of SDEs with superlinear coefficients in the presence of discontinuities of the drift coefficient

Thomas Müller-Gronbach, Sotirios Sabanis, Larisa Yaroslavtseva

Existence, uniqueness, and -approximation results are presented for scalar stochastic differential equations (SDEs) by considering the case where, the drift coefficient has fi…

math.PR2021

An adaptive strong order 1 method for SDEs with discontinuous drift coefficient

Larisa Yaroslavtseva

In recent years, an intensive study of strong approximation of stochastic differential equations (SDEs) with a drift coefficient that may have discontinuities in space has begun. I…

math.PR20203 cited

Sharp lower error bounds for strong approximation of SDEs with discontinuous drift coefficient by coupling of noise

Thomas Müller-Gronbach, Larisa Yaroslavtseva

In the past decade, an intensive study of strong approximation of stochastic differential equations (SDEs) with a drift coefficient that has discontinuities in space has begun. In…

math.PR20193 cited

A strong order method for SDEs with discontinuous drift coefficient

Thomas Müller-Gronbach, Larisa Yaroslavtseva

In this paper we study strong approximation of the solution of a scalar stochastic differential equation (SDE) at the final time in the case when the drift coefficient may have dis…

math.PR2017

A note on strong approximation of SDEs with smooth coefficients that have at most linearly growing derivatives

Thomas Müller-Gronbach, Larisa Yaroslavtseva

Recently, it has been shown in [Jentzen, A., Müller-Gronbach, T., and Yaroslavtseva, L., Commun. Math. Sci., 14, 2016] that there exists a system of autonomous stochastic different…