Fuzzy number approximations provide a robust framework for representing and managing uncertainty in quantitative analyses. By generating simplified yet accurate representations of fuzzy ...

Alsmeyer, Böhm, Dereich, Engwer, Friedrich (until 2021), Gusakova (since 2021), Hille, Holzegel (since 2020), Huesmann, Jentzen (since 2019), Kabluchko, Lohkamp ...

Stein's method has emerged as a critical framework in the study of distributional approximations, providing quantitative bounds between probability distributions through the formulation and solution ...

The subject of this paper is an analytic approximate method for a class of stochastic differential equations with coeffcients that do not necessarily satisfy the Lipschitz and linear growth conditions ...