19 Dubious Ways to Compute the Marginal Likelihood of a Phylogenetic Tree Topology
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
19 Dubious Ways to Compute the Marginal Likelihood of a Phylogenetic Tree Topology
Authors
Keywords
-
Journal
SYSTEMATIC BIOLOGY
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2019-08-23
DOI
10.1093/sysbio/syz046
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Stochastic Variational Inference for Bayesian Phylogenetics: A Case of CAT Model
- (2019) Tung Dang et al. MOLECULAR BIOLOGY AND EVOLUTION
- Systematic Exploration of the High Likelihood Set of Phylogenetic Tree Topologies
- (2019) Chris Whidden et al. SYSTEMATIC BIOLOGY
- Model selection and parameter inference in phylogenetics using Nested Sampling
- (2018) Patricio Maturana R et al. SYSTEMATIC BIOLOGY
- A tutorial on bridge sampling
- (2017) Quentin F. Gronau et al. JOURNAL OF MATHEMATICAL PSYCHOLOGY
- Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
- (2016) Aki Vehtari et al. STATISTICS AND COMPUTING
- Estimating Bayesian Phylogenetic Information Content
- (2016) Paul O. Lewis et al. SYSTEMATIC BIOLOGY
- An Efficient Independence Sampler for Updating Branches in Bayesian Markov chain Monte Carlo Sampling of Phylogenetic Trees
- (2015) Andre J. Aberer et al. SYSTEMATIC BIOLOGY
- Genealogical Working Distributions for Bayesian Model Testing with Phylogenetic Uncertainty
- (2015) Guy Baele et al. SYSTEMATIC BIOLOGY
- Quantifying MCMC Exploration of Phylogenetic Tree Space
- (2015) Chris Whidden et al. SYSTEMATIC BIOLOGY
- Novel non-parametric models to estimate evolutionary rates and divergence times from heterochronous sequence data
- (2014) Mathieu Fourment et al. BMC EVOLUTIONARY BIOLOGY
- Posterior Predictive Bayesian Phylogenetic Model Selection
- (2013) Paul O. Lewis et al. SYSTEMATIC BIOLOGY
- The Estimation of Tree Posterior Probabilities Using Conditional Clade Probability Distributions
- (2013) Bret Larget SYSTEMATIC BIOLOGY
- Improving the Accuracy of Demographic and Molecular Clock Model Comparison While Accommodating Phylogenetic Uncertainty
- (2012) Guy Baele et al. MOLECULAR BIOLOGY AND EVOLUTION
- Robustness of Compound Dirichlet Priors for Bayesian Inference of Branch Lengths
- (2012) Chi Zhang et al. SYSTEMATIC BIOLOGY
- MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
- (2012) Fredrik Ronquist et al. SYSTEMATIC BIOLOGY
- Approximate Likelihood Calculation on a Phylogeny for Bayesian Estimation of Divergence Times
- (2011) M. d. Reis et al. MOLECULAR BIOLOGY AND EVOLUTION
- Tail Paradox, Partial Identifiability, and Influential Priors in Bayesian Branch Length Inference
- (2011) B. Rannala et al. MOLECULAR BIOLOGY AND EVOLUTION
- Guided Tree Topology Proposals for Bayesian Phylogenetic Inference
- (2011) Sebastian Höhna et al. SYSTEMATIC BIOLOGY
- Default Bayesian model determination methods for generalised linear mixed models
- (2010) Antony M. Overstall et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Computational Aspects Related to Inference in Gaussian Graphical Models With the G-Wishart Prior
- (2010) Alex Lenkoski et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Bayesian Estimation of Divergence Times from Large Sequence Alignments
- (2010) S. Guindon MOLECULAR BIOLOGY AND EVOLUTION
- Choosing among Partition Models in Bayesian Phylogenetics
- (2010) Y. Fan et al. MOLECULAR BIOLOGY AND EVOLUTION
- Improving Marginal Likelihood Estimation for Bayesian Phylogenetic Model Selection
- (2010) Wangang Xie et al. SYSTEMATIC BIOLOGY
- Marginal likelihood estimation via power posteriors
- (2008) N. Friel et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Efficiency of Markov Chain Monte Carlo Tree Proposals in Bayesian Phylogenetics
- (2008) Clemens Lakner et al. SYSTEMATIC BIOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started