Ordered by date: newest to oldest.
Beerli, P., Ashki, H., Mashayekhi, S., and Palczewski, M. (2022) Population divergence time estimation using individual lineage label switching. G3 Genes—Genomes—Genetics. ISSN 2160-1836. https://doi.org/10.1093/g3journal/jkac040.
Beerli, P., Mashayekhi, S., Sadeghi, M., Khodaei, M., and Shaw, K. (2019) Population genetic inference with Migrate. Current Protocols in Bioinformatics, 68(1):e87. https://currentprotocols.onlinelibrary.wiley.com/doi/abs/10.1002/cpbi.87.
Mashayekhi, S., and Beerli, P. (2019) Fractional coalescent. Proceedings of the National Academy of Sciences, 116(13):6244–6249, ISSN 0027-8424. https://www.pnas.org/content/116/13/6244.
Palczewski, M. and Beerli, P. (2014). Population model comparison using multi-locus datasets. In Chen, M.-H., Kuo, L., and Lewis, P. O., editors, Bayesian Phylogenetics: Methods, Algorithms, and Applications, pages 187–200. CRC Press, 2014.
Beerli, P., & Palczewski, M. (2010). Unified framework to evaluate panmixia and migration direction among multiple sampling locations. Genetics, 185(1), 313–326.
Beerli, P. (2009). How to use mIGRATE or why are markov chain monte carlo programs difficult to use. Population Genetics for Animal Conservation, 17, 42–79.
Beerli, P. (2007). Letter to the editor: Estimation of the population scaled mutation rate from microsatellite data. Genetics.
Beerli, P. (2006). Comparison of bayesian and maximum-likelihood inference of population genetic parameters. Bioinformatics, 22(3), 341–345.
Beerli, P. (2004a). Effect of unsampled populations on the estimation of population sizes and migration rates between sampled populations. Molecular Ecology, 13(4), 827–836.
Beerli, P., Grassly, N., Kuhner, M., Nickle, £. D., Pybus, O., Rain, M., … Wang, Y. (2002). Population genetics of hIV: Parameter estimation using genealogy-based methods. Computational and Evolutionary Analysis of HIV Molecular Sequences, 217–252.
Beerli, P., & Felsenstein, J. (2001). Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach. Proceedings of the National Academy of Sciences, 98(8), 4563–4568.
Felsenstein, J., Kuhner, M. K., Yamato, J., & Beerli, P. (1999). Likelihoods on coalescents: A monte carlo sampling approach to inferring parameters from population samples of molecular data. Lecture Notes-Monograph Series, 163–185.
Beerli, P., & Felsenstein, J. (1999). Maximum-likelihood estimation of migration rates and effective population numbers in two populations using a coalescent approach. Genetics, 152(2), 763–773.
Beerli, P. (1998). Estimation of migration rates and population sizes in geographically structured populations. NATO ASI SERIES A LIFE SCIENCES, 306, 39–54.
