How Trustworthy Is Your Tree? Bayesian Phylogenetic Effective Sample Size Through the Lens of Monte Carlo Error-Reference-Cited by-同舟云学术

How Trustworthy Is Your Tree? Bayesian Phylogenetic Effective Sample Size Through the Lens of Monte Carlo Error

Published:2023-01-01 Issue:-1 Volume:-1 Page:
ISSN:1936-0975
Container-title:Bayesian Analysis
language:
Short-container-title:Bayesian Anal.

Author:

Magee Andrew¹,Karcher Michael²,Matsen IV Frederick A.³,Minin Volodymyr M.⁴

Affiliation:

1. Department of Biology, University of Washington, Seattle, WA, 98195, USA

2. Department of Mathematics and Computer Science, Muhlenberg College, Allentown, PA, 18104, USA

3. Howard Hughes Medical Institute, Fred Hutchison Cancer Research Center, Departments of Genome Sciences and Statistics, University of Washington, Seattle, WA, 98109, USA

4. Department of Statistics, University of California, Irvine, Irvine, CA, 92697, USA

Publisher

Institute of Mathematical Statistics

Subject

Applied Mathematics,Statistics and Probability

Reference45 articles.

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2. Daniel G Brown and Megan Owen. Mean and variance of phylogenetic trees. Systematic Biology, 69 (1):139–154, 2020.

3. Ming-Hui Chen, Lynn Kuo, and Paul O Lewis. Bayesian phylogenetics: methods, algorithms, and applications. CRC Press, 2014.

4. Paromita Dubey and Hans-Georg Müller. Fréchet analysis of variance for random objects. Biometrika, 106 (4):803–821, 2019.

5. Luiza Guimaraes Fabreti and Sebastian Höhna. Convergence assessment for Bayesian phylogenetic analysis using MCMC simulation. Methods in Ecology and Evolution, 13 (1):77–90, 2022.

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