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 ...

Celebrate Pi Day with the best fractional approximation of Pi using Python! In this video, I’ll show you how to generate the most accurate rational approximations for Pi, diving into algorithms like ...