In Bayesian phylogenetic analyses of genetic data, prior probability distributions need to be specified for the model parameters, including the tree. When Bayesian methods are used for molecular dating, available tree priors include those designed for species-level data, such as the pure-birth and birth-death priors, and coalescent-based priors designed for population-level data. However, molecular dating methods are frequently applied to data sets that include multiple individuals across multiple species. Such data sets violate the assumptions of both the speciation and coalescent-based tree priors, making it unclear which should be chosen and whether this choice can affect the estimation of node times. To investigate this problem, we used...
Background Bayesian relaxed-clock dating has significantly influenced our understanding of the timel...
BackgroundBayesian relaxed-clock dating has significantly influenced our understanding of the timeli...
Here we introduce a general class of multiple calibration birth-death tree priors for use in Bayesia...
In Bayesian phylogenetic analyses of genetic data, prior probability distributions need to be specif...
We develop a Bayesian Markov chain Monte Carlo (MCMC) algorithm for estimating divergence times usin...
Data and results for Chazot et al. (2018) 'Priors and Posteriors in Bayesian Timing of Divergence An...
Bayesian molecular dating is widely used to study evolutionary timescales. This procedure usually in...
International audienceBackground: Bayesian relaxed-clock dating has significantly influenced our und...
Abstract.—Bayesian methods are increasingly being used to estimate divergence times without the rest...
Abstract.—Bayesian methods are increasingly being used to estimate divergence times without the rest...
Evolutionary timescales can be inferred by molecular-clock analyses of genetic data and fossil evide...
Background: Studies of diversification and trait evolution increasingly rely on combining molecular ...
Understanding the processes that generate diversity is key to interpreting the patterns we see in th...
We develop a Bayesian Markov chain Monte Carlo (MCMC) algorithm for estimating divergence times usin...
Tip-dating methods are becoming popular alternatives to traditional node calibration approaches for ...
Background Bayesian relaxed-clock dating has significantly influenced our understanding of the timel...
BackgroundBayesian relaxed-clock dating has significantly influenced our understanding of the timeli...
Here we introduce a general class of multiple calibration birth-death tree priors for use in Bayesia...
In Bayesian phylogenetic analyses of genetic data, prior probability distributions need to be specif...
We develop a Bayesian Markov chain Monte Carlo (MCMC) algorithm for estimating divergence times usin...
Data and results for Chazot et al. (2018) 'Priors and Posteriors in Bayesian Timing of Divergence An...
Bayesian molecular dating is widely used to study evolutionary timescales. This procedure usually in...
International audienceBackground: Bayesian relaxed-clock dating has significantly influenced our und...
Abstract.—Bayesian methods are increasingly being used to estimate divergence times without the rest...
Abstract.—Bayesian methods are increasingly being used to estimate divergence times without the rest...
Evolutionary timescales can be inferred by molecular-clock analyses of genetic data and fossil evide...
Background: Studies of diversification and trait evolution increasingly rely on combining molecular ...
Understanding the processes that generate diversity is key to interpreting the patterns we see in th...
We develop a Bayesian Markov chain Monte Carlo (MCMC) algorithm for estimating divergence times usin...
Tip-dating methods are becoming popular alternatives to traditional node calibration approaches for ...
Background Bayesian relaxed-clock dating has significantly influenced our understanding of the timel...
BackgroundBayesian relaxed-clock dating has significantly influenced our understanding of the timeli...
Here we introduce a general class of multiple calibration birth-death tree priors for use in Bayesia...