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Inferring the historical patterns of biological evolution
- M. Pagel
- 28 October 1999
The combination of these phylogenies with powerful new statistical approaches for the analysis of biological evolution is challenging widely held beliefs about the history and evolution of life on Earth.
Detecting correlated evolution on phylogenies: a general method for the comparative analysis of discrete characters
- M. Pagel
- BiologyProceedings of the Royal Society of London…
- 22 January 1994
I present a new statistical method for analysing the relationship between two discrete characters that are measured across a group of hierarchically evolved species or populations. The method…
The comparative method in evolutionary biology
The comparative method for studying adaptation why worry about phylogeny? reconstructing phylogenetic trees and ancestral character states comparative analysis of discrete data comparative analysis…
Bayesian estimation of ancestral character states on phylogenies.
This work describes how to combine information about the uncertainty of the phylogeny with uncertainty in the estimate of the ancestral state and shows how to reconstruct ancestral states of uncertain nodes using a most-recent-common-ancestor approach.
Phylogenetic Analysis and Comparative Data: A Test and Review of Evidence
Simulations show λ to be a statistically powerful index for measuring whether data exhibit phylogenetic dependence or not and whether it has low rates of Type I error, which demonstrates that even partial information on phylogeny will improve the accuracy of phylogenetic analyses.
Inferring evolutionary processes from phylogenies
- M. Pagel
- 1 October 1997
A set of maximum likelihood statistical methods for inferring historical evolutionary processes and anticipating the wealth of information becoming available to biological scientists from genetic studies that pin down relationships among organisms with unprecedented accuracy are described.
The Maximum Likelihood Approach to Reconstructing Ancestral Character States of Discrete Characters on Phylogenies
- M. Pagel
- 1 July 1999
My approach to reconstructing ancestral states makes use of a Markov model of binary character evolution on phylogenies, which is a related model for investigating rates of gains and losses of characters for which the ancestral states are assumed to be known.
Bayesian Analysis of Correlated Evolution of Discrete Characters by Reversible‐Jump Markov Chain Monte Carlo
A Bayesian method for investigating correlated evolution of discrete binary traits on phylogenetic trees is described and the question of whether mating system and advertisement of estrus by females have coevolved in the Old World monkeys and great apes is illustrated.
A phylogenetic mixture model for detecting pattern-heterogeneity in gene sequence or character-state data.
A general likelihood-based 'mixture model' for inferring phylogenetic trees from gene-sequence or other character-state data that simplifies to a homogeneous model or a rate-variability model as special cases and always performs at least as well as these two approaches, and often considerably improves upon them.