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

This will likely come as a surprise, but the way engineers perform Monte Carlo analysis and assess the results, is likely incorrect. Misinterpreting Monte Carlo results can lead to the wrong technical ...