Nathanael L. Ackerman

A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions

The objective of goodness-of-fit testing is to assess whether a dataset of observations is likely to have been drawn from a candidate probability distribution. This paper presents a rank-based family of goodness-of-fit tests that is specialized to discrete distributions on high-dimensional domains.…