Stein's method has emerged as a powerful and versatile tool in probability theory for deriving error bounds in distributional approximations. Originally developed to ...

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 Annals of Probability, Vol. 38, No. 2 (March 2010), pp. 443-478 (36 pages) We combine Stein's method with a version of Malliavin calculus on the Poisson space. As a result, we obtain explicit ...

In this paper, the linear finite element approximation to the positive and symmetric, linear hyperbolic systems is analyzed and an O(h²) order error estimate is ...