54 citations · 395 across the 33 of their papers we have counts for
4 papers · 1 filter
Implementing Monte Carlo Tests with P-value Buckets
Axel Gandy, Georg Hahn, Dong Ding
Software packages usually report the results of statistical tests using p-values. Users often interpret these by comparing them to standard thresholds, e.g. 0.1%, 1% and 5%, which…
A simple method for implementing Monte Carlo tests
Dong Ding, Axel Gandy, Georg Hahn
We consider a statistical test whose p-value can only be approximated using Monte Carlo simulations. We are interested in deciding whether the p-value for an observed data set lies…
A Framework for Monte Carlo based Multiple Testing
Axel Gandy, Georg Hahn
We are concerned with a situation in which we would like to test multiple hypotheses with tests whose p-values cannot be computed explicitly but can be approximated using Monte Car…
MMCTest - A Safe Algorithm for Implementing Multiple Monte Carlo Tests
Axel Gandy, Georg Hahn
Consider testing multiple hypotheses using tests that can only be evaluated by simulation, such as permutation tests or bootstrap tests. This article introduces MMCTest, a sequenti…