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Paul van der Mark

Researcher at Florida State University

Publications -  6
Citations -  19676

Paul van der Mark is an academic researcher from Florida State University. The author has contributed to research in topics: Markov chain Monte Carlo & Markov chain. The author has an hindex of 6, co-authored 6 publications receiving 15642 citations.

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Journal ArticleDOI

MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice across a Large Model Space

TL;DR: The new version provides convergence diagnostics and allows multiple analyses to be run in parallel with convergence progress monitored on the fly, and provides more output options than previously, including samples of ancestral states, site rates, site dN/dS rations, branch rates, and node dates.

and Model Choice Across a Large Model Space

TL;DR: MrBayes 3.2 as discussed by the authors is a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods, which has been widely used in the literature.
Journal ArticleDOI

Inferring dispersal: a Bayesian approach to phylogeny‐based island biogeography, with special reference to the Canary Islands

TL;DR: In this paper, a new Bayesian approach to island biogeography that estimates island carrying capacities and dispersal rates based on simple Markov models of biogeographical processes is described.
Journal ArticleDOI

Efficiency of Markov chain Monte Carlo tree proposals in Bayesian phylogenetics.

TL;DR: It is found that proposals producing topology changes as a side effect of branch length changes (LOCAL and Continuous Change) consistently perform worse than those involving stochastic branch rearrangements (nearest neighbor interchange, subtree pruning and regrafting, tree bisection and reconnection, or subtree swapping).
Book ChapterDOI

The Phylogenetic Handbook: Bayesian phylogenetic analysis using MRBAYES

TL;DR: It is shown that Sweden is one of only a small number of teams that compete successfully for the medals and is likely to be in the vicinity of these estimates.