Probabilistic methods outperform parsimony in the phylogenetic analysis of data simulated without a probabilistic model
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Probabilistic methods outperform parsimony in the phylogenetic analysis of data simulated without a probabilistic model
Authors
Keywords
-
Journal
PALAEONTOLOGY
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2018-08-20
DOI
10.1111/pala.12388
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- On defining a unique phylogenetic tree with homoplastic characters
- (2018) Pablo A. Goloboff et al. MOLECULAR PHYLOGENETICS AND EVOLUTION
- Parsimony and model-based phylogenetic methods for morphological data: comments on O'Reilly et al .
- (2018) Pablo A. Goloboff et al. PALAEONTOLOGY
- Empirical realism of simulated data is more important than the model used to generate it: a reply to Goloboff et al .
- (2018) Joseph E. O'Reilly et al. PALAEONTOLOGY
- Probabilistic methods surpass parsimony when assessing clade support in phylogenetic analyses of discrete morphological data
- (2017) Joseph E. O'Reilly et al. PALAEONTOLOGY
- Bayesian and likelihood phylogenetic reconstructions of morphological traits are not discordant when taking uncertainty into consideration: a comment on Puttick et al .
- (2017) Joseph W. Brown et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Parsimony and maximum-likelihood phylogenetic analyses of morphology do not generally integrate uncertainty in inferring evolutionary history: a response to Brown et al.
- (2017) Mark N. Puttick et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Uncertain-tree: discriminating among competing approaches to the phylogenetic analysis of phenotype data
- (2017) Mark N. Puttick et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Bayesian methods outperform parsimony but at the expense of precision in the estimation of phylogeny from discrete morphological data
- (2016) Joseph E. O'Reilly et al. Biology Letters
- TNT version 1.5, including a full implementation of phylogenetic morphometrics
- (2016) Pablo A. Goloboff et al. CLADISTICS
- Implied weighting and its utility in palaeontological datasets: a study using modelled phylogenetic matrices
- (2016) Curtis R. Congreve et al. PALAEONTOLOGY
- The impact of fossil data on annelid phylogeny inferred from discrete morphological characters
- (2016) Luke A. Parry et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Modeling Character Change Heterogeneity in Phylogenetic Analyses of Morphology through the Use of Priors
- (2015) April M. Wright et al. SYSTEMATIC BIOLOGY
- Bayesian Analysis Using a Simple Likelihood Model Outperforms Parsimony for Estimation of Phylogeny from Discrete Morphological Data
- (2014) April M. Wright et al. PLoS One
- Ultrafast Approximation for Phylogenetic Bootstrap
- (2013) B. Q. Minh et al. MOLECULAR BIOLOGY AND EVOLUTION
- The Placental Mammal Ancestor and the Post-K-Pg Radiation of Placentals
- (2013) M. A. O'Leary et al. SCIENCE
- MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
- (2012) Fredrik Ronquist et al. SYSTEMATIC BIOLOGY
- TNT, a free program for phylogenetic analysis
- (2008) Pablo A. Goloboff et al. CLADISTICS
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