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Data from: Probabilistic methods outperform parsimony in the phylogenetic analysis of data simulated without a probabilistic model
负责人:
关键词:
Likelihood;morphology;parsimony;Simulation;Bayesian;phylogenetics
DOI:
doi:10.5061/dryad.h8r2629
摘要:
shared branch lengths for characters, as it is claimed this leads to bias favouring the Bayesian or Maximum likelihood Mk model over parsimony models which
Data from: Predictive Bayesian selection of multistep Markov chains, applied to the detection of the hot hand and other statistical dependencies
负责人:
关键词:
Markov chain;selection;Bayesian;Hot hand
DOI:
doi:10.5061/dryad.4k25m2q
摘要:
When extended to data from the 2016--2017 NBA season specifically for LeBron James, a model depending on the previous shot (single-step Markovia
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:
ee Bayesian methods BayesA, BayesB and BayesC? based on threshold model for estimating genomic breeding values of threshold traits, and the extended methods ar
Data from: Recommendations for using msBayes to incorporate uncertainty in selecting an ABC model prior: a response to Oaks et al.
负责人:
关键词:
prior;msBayes;Bayesian model averaging;synchronous divergence;approximate Bayesian computation
DOI:
doi:10.5061/dryad.17f8v
摘要:
Prior specification is an essential component of parameter estimation and model comparison in Approximate Bayesian computation (ABC). Oaks et al. pr
Data from: Modelling the consequence of glacier retreat on mixotrophic nanoflagellate bacterivory: a Bayesian approach
负责人:
关键词:
Bayes;JAGS;nanoflagellate;clearance rate;bacterivory
DOI:
doi:10.5061/dryad.wpzgmsbj1
摘要:
on Mixotrophic Nanoflagellate Bacterivory: A Bayesian Approach" which was accepted for publication in Oikos. The main contribution of this paper is a model
Data from: Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome
负责人:
关键词:
DOI:
doi:10.5061/dryad.v4126t4
摘要:
for heterogeneous (co)variance structure across the genome. This model was also implemented in single-step Bayesian regression (ssBayesN0). For practical
Data from: Posterior predictive Bayesian phylogenetic model selection
负责人:
关键词:
posterior predictive;Bayesian;model selection;phylogenetics;L-measure;conditional predictive ordinate;log pseudomarginal likelihood
DOI:
doi:10.5061/dryad.6b7c1
摘要:
and CPO add new perspectives to Bayesian phylogenetic model selection based on the predictive abilities of models, and complement the perspective provided
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:
The Bayesian method of species delimitation (Yang and Rannala, 2010) uses a so-called guide tree to reduce the number of models to be evaluated
Data from: Factors affecting GEBV accuracy with single-step Bayesian models
负责人:
Zhou, Lei
关键词:
DOI:
doi:10.5061/dryad.hk14j
摘要:
ween markers and QTL contributed to GEBV accuracy in the single-step analysis, and the advantages of single-step Bayesian models were more apparent
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:
. 3. For all simulation scenarios, model evidence (Bayes factor support) for the number of shifts is not sensitive to the choice of model prior over the wide

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