I have just been notified that the paper describing our Bayesian MCMC method for identifying exceptional phenotypic evolution (implemented in the phytools function evol.rate.mcmc) is now finally in print at Evolution. I wrote several prior blog posts describing this method as well as some of the challenges involved in averaging our samples from the posterior distribution (e.g., 1, 2, 3, 4, 5, 6, 7, 8, 9). My coauthors for this article were Luke Mahler, Pedro Peres-Neto, and Ben Redelings. Ben, who is a real biomathematician, was my office mate at NESCent and was really instrumental in helping me figure out some of the key problems of this method. The paper is available here, so please check it out (and don't hesitate to email me if your institution does not subscribe to the journal).
Wednesday, January 4, 2012
MCMC method article in print!
I have just been notified that the paper describing our Bayesian MCMC method for identifying exceptional phenotypic evolution (implemented in the phytools function evol.rate.mcmc) is now finally in print at Evolution. I wrote several prior blog posts describing this method as well as some of the challenges involved in averaging our samples from the posterior distribution (e.g., 1, 2, 3, 4, 5, 6, 7, 8, 9). My coauthors for this article were Luke Mahler, Pedro Peres-Neto, and Ben Redelings. Ben, who is a real biomathematician, was my office mate at NESCent and was really instrumental in helping me figure out some of the key problems of this method. The paper is available here, so please check it out (and don't hesitate to email me if your institution does not subscribe to the journal).
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