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Data from: Bayesian species delimitation can be robust to guide tree inference errors
负责人:
关键词:
species delimitation;guide tree;BPP;Simulation;MCMC
DOI:
doi:10.5061/dryad.m1r32
摘要:
in the reversible-jump Markov chain Monte Carlo (rjMCMC) algorithm (Green, 1995). It has been pointed out that the method tends to over-split if a random population
Data from: Association between severity of MERS-CoV infection and incubation period
负责人:
关键词:
severity;Incubation period;MCMC;MERS-CoV
DOI:
doi:10.5061/dryad.v3546
摘要:
We analyzed data for 170 patients in South Korea who had laboratory-confirmed infection with Middle East respiratory syndrome coronavirus. A longer incubation period was associated with a reduction in the risk for death (adjusted odds ratio/1-day increase in incubation period 0.83, 95% credibility interval 0.68–1.03).
Data from: Bayesian adaptive Markov Chain Monte Carlo estimation of genetic parameters
负责人:
关键词:
Hordeum vulgare L.
DOI:
doi:10.5061/dryad.0p88f
摘要:
s is of great importance in both natural and breeding populations. Here we propose a new fast adaptive Markov Chain Monte Carlo (MCMC) sampling algorithm
Data from: Bayesian model selection with BAMM: effects of the model prior on the inferred number of diversification shifts
负责人:
关键词:
BAMM;Macroevolution;bayesian analysis
DOI:
doi:10.5061/dryad.0564q
摘要:
ross a broad range of prior parameterizations. We also assessed the impact of the model prior on MCMC convergence times and on diversification rate estimates
Data from: Ancestral character estimation under the threshold model from quantitative genetics
负责人:
关键词:
Morphological Evolution;phylogenetics;Models\/Simulations;quantitative genetics
DOI:
doi:10.5061/dryad.4t157
摘要:
Markov chain Monte Carlo (MCMC) to sample the liabilities of ancestral and tip species, and the relative positions of two or more thresholds, from their joint posterior probability
Data from: Bayesian methods for estimating GEBVs of threshold traits
负责人:
关键词:
Genomic selection;Bayesian methods;MCMC;threshold traits
DOI:
doi:10.5061/dryad.pp551
摘要:
e correspondingly termed BayesTA, BayesTB and BayesTC?. Computing procedures of the three BayesT methods using Markov Chain Monte Carlo (MCMC) algorithm were derived
Data from: Elevated substitution rate estimates from ancient DNA: model violation and bias of Bayesian methods
负责人:
关键词:
Demography;Bayesian;ancient DNA;mutation rate;coalescent simulation;heterochronous sequences
DOI:
doi:10.5061/dryad.1355
摘要:
erest in the possibility of time dependency for molecular rate estimates. Here we provide a critical assessment of Bayesian MCMC analysis for the estimation
Data from: Effective online Bayesian phylogenetics via sequential Monte Carlo with guided proposals
负责人:
关键词:
phylogenetics;sequential Monte Carlo;Online Inference;Bayesian inference
DOI:
doi:10.5061/dryad.n7n85
摘要:
t the situation can be resolved by heating the proposal density. The results demonstrate that relative to the widely-used MCMC-based algorithm implemented
Data from: A Bayesian method for analyzing lateral gene transfer
负责人:
关键词:
MCMC Lateral gene transfer Horizontal gene transfer Gene duplication Gene loss Phylogenetics Phylogenomics Bayesian Reconciliation
DOI:
doi:10.5061/dryad.f78r2
摘要:
ral remain debated. We present a Bayesian MCMC-based method that integrates gene duplication, gene loss, LGT, and sequence evolution, and apply the method
Data from: The efficacy of consensus tree methods for summarising phylogenetic relationships from a posterior sample of trees estimated from morphological data
负责人:
关键词:
consensus trees;total-evidence dating;morphology;Bayesian phylogenetics;divergence time estimation
DOI:
doi:10.5061/dryad.66s9h
摘要:
Consensus trees are required to summarise trees obtained through MCMC sampling of a posterior distribution, providing an overview of the distribution

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