Consistency and central limit results for the maximum likelihood estimator in the Admixture Model

In the Admixture Model, the probability of an individual having a certain number of alleles at a specific marker depends on the allele frequencies in K ancestral populations and the fraction of the individual's genome originating from these ancestral populations. This study investigates consistency and central limit results of maximum likelihood estimators (MLEs) for the ancestry and the allele frequencies in the Admixture Model, complimenting previous work by Pfaff et al. (2004); Pfaffelhuber and Rohde (2022). Specifically, we prove consistency of the MLE, if we estimate the allele frequencies and the ancestries. Furthermore, we prove central limit theorems, if we estimate the ancestry of a finite number of individuals and the allele frequencies of finitely many markers, also addressing the case where the true ancestry lies on the boundary of the parameter space. Finally, we use the new theory to quantify the uncertainty of the MLEs for the data of the 1000 Genomes Project.