Abstract:

In this talk we will discuss some recent insights in the study of probability functions. We will explore a particular setting that allows us not only to obtain naturally a reduction in sample variance, but that is also favorable for the derivation of theoretical insights. The latter can comprise results regarding convexity, but also differentiability. We will discuss several results of the latter type and show how they can be put to work numerically.