Papers

  • Aguerre, M. T. Hunt, B Larget, M. Wattiaux (accepted). Effect of Dietary Crude Protein Ammonia-N emission measured by herd nitrogen mass balance in a freestall dairy barn managed under farm-like conditions. Animal: An International Journal of Animal Bioscience.

  • White, M.A., C. Ane, C.N. Dewey, B. Larget, and B.A. Payseur (2009). Fine-Scale Phylogenetic Discordance across the House Mouse Genome. PLOS Genetics 5: e729. (pdf)

  • Luo, R.and B. Larget (2009). Modeling Substitution and Indel Processes for AFLP Marker Evolution and Phylogenetic Inference. The Annals of Applied Statistics 3: 222-248. (pdf)

  • Huelsenbeck, J.P., C. Ane, B. Larget, and F. Ronquist (2008). A Bayesian Perspective on a Non-parsimonious Parsimony Model. Systematic Biology 57:406-419. (pdf)

  • Lakner, C., P. van der Mark, J.P. Huelsenbeck, B. Larget, and F. Ronquist (2008). Efficiency of MCMC Tree Proposals in Bayesian Phylogenetics. Systematic Biology 57:86-103. (pdf)

  • Ane C., B. Larget, D.A. Baum, S.D. Smith, and A. Rokas (2007). Bayesian Estimation of Concordance among Gene Trees Molecular Biology and Evolution: 24: 412-426. (pdf) (errata pdf)

  • Luo, R., A.L. Hipp, and B. Larget (2007). A Bayesian Model of AFLP Marker Evolution and Phylogenetic Inference. Statistical Applications in Genetics and Molecular Biology 6(1): Article 11. (pdf)

  • Reynal, S., B. Larget, and G. Broderick (2006). Effectiveness of sample duplication to control error in ruminant digestion studies. Journal of Dairy Science 89: 3501-3504. (pdf)

  • Ronquist, F., B. Larget, J.P. Huelsenbeck, J.B. Kadane, D.L. Simon, and P. van der Mark (2006). Phylogenetic MCMC Algorithms are not Misleading. Science 312: 367. Technical comment on Mossel and Vegoda (2005). ``Phylogenetic MCMC Algorithms Are Misleading on Mixtures of Trees'' in Science. (pdf)

  • Holder, M.T., P.O. Lewis, D.L. Swofford, and B. Larget (2005). Hastings ratio of the LOCAL proposal used in Bayesian phylogenetics. Systematic Biology 54: 961-965. (pdf)

  • Larget, B., D.L. Simon, and J.B. Kadane (2005). A Bayesian approach to the estimation of ancestral genome arrangements. Molecular Phylogenetics and Evolution 36: 214-223. (pdf)

  • Larget, B., D.L. Simon, J.B. Kadane, D. Sweet (2005). A Bayesian analysis of metazoan mitochondrial genome arrangements. Molecular Biology and Evolution 22: 486-495. (pdf)

  • Huelsenbeck, J.P., B. Larget, and M. Alfaro (2004). Bayesian phylogenetic model selection using reversible jump Markov chain Monte Carlo. Molecular Biology and Evolution 21: 1123-1133. (pdf)

  • Atallah, Z. K., B. Larget, X. Chen, and D.A. Johnson (2004). High genetic diversity, phenotypic uniformity and evidence of outcrossing in Sclerotinia sclerotiorum in the Columbia Basin of Washington State. Phytopathology 94: 737-742.

  • Larget, B. (2004). Introduction to Markov Chain Monte Carlo Methods in Molecular Evolution. In Statistical Methods in Molecular Evolution, Rasmus Nielsen (editor), Springer-Verlag, New York, New York.

  • Schloss, P.D., B. Larget, and J. Handelsman (2004). Integration of microbial ecology and statistics: a test to compare gene libraries. Applied and Environmental Microbiology 70: 5485-5492.

  • Huelsenbeck, J. P., B. Larget, R. E. Miller, and F. Ronquist (2002). Potential applications and pitfalls of Bayesian inference of phylogeny. Systematic Biology 51: 673-688.

  • Huelsenbeck, J., B. Rannala, and B. Larget (2002). A statistical perspective for reconstructing the history of host-parasite associations. In Page, R (Ed.), Tangled Trees: Phylogenies, Cospeciation, and Coevolution. The University of Chicago Press.

  • Larget, B., D. L. Simon, and J.B. Kadane (2002). On a Bayesian approach to phylogenetic inference from animal mitochondrial genome arrangements (with discussion). Journal of the Royal Statistical Society B 64: 681-693.

  • Simon, D. L. and B. Larget (2001). Phylogenetic inference from mitochondrial genome arrangement data. In Alexandrov, V. N., J. Dongarra, B. Juliano, R. Renner, C. Tan (Ed.), Computational Science - ICCS 2001. Springer-Verlag Lecture Notes in Computer Science, 2074: 1022-1028.