Over recent decades, approximation theory has evolved to incorporate sophisticated operator-based techniques that extend classical sampling methods. Central to these developments is the use of ...
Stein's method has emerged as a powerful and versatile tool in probability theory for deriving error bounds in distributional approximations. Originally developed to ...