True and false discoveries with independent and sequential e-values

Abstract

In this article, we use e-values in the context of multiple hypothesis testing, assuming that the base tests produce independent, or sequential, e-values. Our simulation and empirical studies, as well as theoretical considerations, suggest that, under this assumption, our new algorithms are superior to the known algorithms using independent p-values and to our recent algorithms designed for e-values without the assumption of independence.