Distributions of metric $n$-point invariants and applications to molecular evolution

Datasets often arise as samples from a metric measure space whose geometry reflects the data-generating process. We introduce metric $n$-point invariants, defined as functions of the pairwise distances of $n$-point configurations, to study the geometry of such spaces. This provides a unified framewo