Richness.

Estimating Unseen Shared Cultural Diversity.

Extends unseen species models to estimate the shared diversity between two cultural collections — how many artefacts they have in common that neither has observed.

Population Size Estimation as a Regression Problem.

Reframes population size estimation as a Bayesian regression problem to correct for heterogeneous detection probabilities in cultural samples.

Estimating Richness under Sampling without Replacement.

Examines how standard unseen species estimators break down under sampling without replacement, and how to correct for it.

Demystifying Chao1 with Good-Turing.

How Good-Turing frequency estimation underpins the Chao1 biodiversity estimator — and what that means for counting unseen cultural artefacts.