Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure
Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure
Significance Bayesian models, including admixture models, are a powerful framework for articulating complex assumptions about large-scale genetic data; such models are widely used to explore data or to study population-level statistics of interest. However, we assume that a Bayesian model does not oversimplify the complexities in the data, to the …