Corpus ID: 237532357

How trustworthy is your tree? Bayesian phylogenetic effective sample size through the lens of Monte Carlo error

@inproceedings{Magee2021HowTI,
  title={How trustworthy is your tree? Bayesian phylogenetic effective sample size through the lens of Monte Carlo error},
  author={Andrew F. Magee and Michael D. Karcher and IV FrederickA.Matsen and Vladimir N. Minin},
  year={2021}
}
Bayesian inference is a popular and widely-used approach to infer phylogenies (evolutionary trees). However, despite decades of widespread application, it remains difficult to judge how well a given Bayesian Markov chain Monte Carlo (MCMC) run explores the space of phylogenetic trees. In this paper, we investigate the Monte Carlo error of phylogenies, focusing on high-dimensional summaries of the posterior distribution, including variability in estimated edge/branch (known in phylogenetics as… Expand

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