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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:
timation of substitution rate using simulated samples of aDNA and mDNA. We conclude that the current models and priors employed in Bayesian MCMC analysis of heterochronous mtDNA
Data from: Modeling character change heterogeneity in phylogenetic analyses of morphology through the use of priors
负责人:
关键词:
Bayesian estimation;morphology;Paleontology;phylogeny;priors
DOI:
doi:10.5061/dryad.sb8h1
摘要:
this assumption in a Bayesian context. Using empirical datasets, we perform model fitting to illustrate cases in which modeling asymmetric transition rates amo
Data from: Reliability modelling and analysis of a multi-state element based on a dynamic Bayesian network
负责人:
关键词:
condition-based maintenance;conditional probability table;Markov process;Multi-state element;dynamic Bayesian network;dynamic fault tree
DOI:
doi:10.5061/dryad.1ch71sd
摘要:
. Finally, the power of a control unit in a failure model is used as an example. A dynamic fault tree (DFT) is translated into a Bayesian network (BN) model
Data from: Exploring the power of Bayesian birth-death skyline models to detect mass extinction events from phylogenies with only extant taxa
负责人:
关键词:
extinction;mass extinction events;Bayesian inference;Diversification rates;speciation;episodic birth-death
DOI:
doi:10.5061/dryad.qv10c62
摘要:
, where MEEs have a time-duration. Here, we explore the power of a Bayesian Birth-Death Skyline (BDSKY) model to detect the signature of MEEs through cha
Data from: The multispecies coalescent model outperforms concatenation across diverse phylogenomic
负责人:
关键词:
Bayesian model validation;coalescent prior;congruent gene trees;independent prior;Bayes factor;Athens;posterior predictive simulation;Metazoa
DOI:
doi:10.5061/dryad.7q6q3s0
摘要:
rejecting the substitution and concatenation models, and Bayesian model comparison strongly favors the MSC over concatenation across all data sets
Data from: Swapping birth and death: symmetries and transformations in phylodynamic models
负责人:
关键词:
Basel;maximum likelihood;phylogenetics;Bayesian inference;Phylodynamics;birth-death models;algebraic symmetries;speciation-extinction models
DOI:
doi:10.5061/dryad.57704ft
摘要:
ticularly to maximum likelihood and Bayesian inference methods, as well as to model selection.
Data from: Bayesian methods outperform parsimony but at the expense of precision in the estimation of phylogeny from discrete morphological data
负责人:
关键词:
Likelihood;morphology;parsimony;Bayesian;phylogenetics
DOI:
doi:10.5061/dryad.10qf3
摘要:
t in the likelihood-based Mk-model. Here, we test the performance of the Bayesian implementation of the Mk-model relative to both equal and implied-weight
Data from: Genealogical working distributions for Bayesian model testing with phylogenetic uncertainty
负责人:
关键词:
working distribution;marginal likelihood;MCMC;phylogenetics;Bayes factor;Bayesian inference;coalescent model
DOI:
doi:10.5061/dryad.8tm76
摘要:
Marginal likelihood estimates to compare models using Bayes factors frequently accompany Bayesian phylogenetic inference. Approaches to es
Data from: Evaluating multilocus Bayesian species delimitation for discovery of cryptic mycorrhizal diversity
负责人:
关键词:
Caladenia;species delimitation;Serendipita vermifera;Bayesian;phylogeny;Serendipita;mycorrhizae;Holocene;Sebacina;coalescent;orchid mycorrhizal fungi
DOI:
doi:10.5061/dryad.2hf40
摘要:
of modern multilocus Bayesian coalescent-based methods for delimiting cryptic fungal diversity in the orchid mycorrhiza morphospecies Serendipita vermifera
Data from: The impact of variable degrees of freedom and scale parameters in Bayesian methods for genomic prediction in Chinese Simmental beef cattle
负责人:
Li, Junya
关键词:
Simmental BovineHD genotyping
DOI:
doi:10.5061/dryad.4qc06
摘要:
for complex traits in livestock. A priori, these Bayesian models assume that the non-zero SNP effects (marginally) follow a t-distribution depending on two fixed

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