Literature Cited

1

Charles E. Antoniak. Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems. Annals of Statistics, 2(6):1152–1174, 1974.

2

Thomas S Ferguson. A Bayesian Analysis of Some Nonparametric Problems. The Annals of Statistics, 1(2):209–230, March 1973.

3

R. M. Neal. Markov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical Statistics, 9:249–265, 2000.

4

Jamie R. Oaks. Full Bayesian comparative phylogeography from genomic data. Systematic Biology, 68(3):371–395, 05 2019. URL: https://doi.org/10.1093/sysbio/syy063, doi:10.1093/sysbio/syy063.

5

Jamie R. Oaks, Nadia L’Bahy, and Kerry A. Cobb. Insights from a general, full-likelihood Bayesian approach to inferring shared evolutionary events from genomic data: inferring shared demographic events is challenging. bioRxiv, 07 2019. URL: https://www.biorxiv.org/content/early/2019/06/22/679878, arXiv:https://www.biorxiv.org/content/early/2019/06/22/679878.full.pdf, doi:10.1101/679878.

6

Jamie R. Oaks, Cameron D. Siler, and Rafe M. Brown. The comparative biogeography of Philippine geckos challenges predictions from a paradigm of climate-driven vicariant diversification across an island archipelago. Evolution, 73(6):1151–1167, 06 2019. URL: https://doi.org/10.1111/evo.13754, doi:10.1111/evo.13754.

7

Jim Pitman and Marc Yor. The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator. Annals of Probability, 25(2):855–900, 1997.