  In this note we use e-values (a non-Bayesian version of Bayes factors) in the
context of multiple hypothesis testing assuming that the base tests produce
independent e-values. Our simulation studies and 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 using
e-values that are not necessarily independent.
