Posterior Probability Support Values

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Posterior probability - Wikipedia

    https://en.wikipedia.org/wiki/Posterior_probability
    Posterior probability is a conditional probability conditioned on randomly observed data. Hence it is a random variable. For a random variable, it is important to summarize its amount of uncertainty. One way to achieve this goal is to provide a credible interval of the posterior probability. Classification

How Meaningful Are Bayesian Support Values? Molecular ...

    https://academic.oup.com/mbe/article/21/1/188/1114781
    Jan 01, 2004 · For the purposes of this study, well-supported clades were defined as those with both 63% or greater jackknife support and posterior probability for the parsimony and Bayesian analyses, respectively. (The lowest support values for the clades examined here were 68% jackknife support and 98% Bayesian support.)Cited by: 430

What is the recommended value of posterior probability in ...

    https://www.researchgate.net/post/What_is_the_recommended_value_of_posterior_probability_in_Mr_Bayes_analysis_in_the_phylogeny_tree
    What is the recommended value of posterior probability in Mr. Bayes analysis in the phylogeny tree? ... Different support can sometimes provide insights into your data. ... Values of probability ...

Fit posterior probabilities - MATLAB fitSVMPosterior

    https://www.mathworks.com/help/stats/fitsvmposterior.html
    ScoreSVMModel = fitSVMPosterior(SVMModel) returns ScoreSVMModel, which is a trained, support vector machine (SVM) classifier containing the optimal score-to-posterior-probability transformation function for two-class learning.. The software fits the appropriate score-to-posterior-probability transformation function using the SVM classifier SVMModel, and by cross validation using the stored ...

What is Bayesian posterior probability and how is it ...

    https://stats.stackexchange.com/questions/341553/what-is-bayesian-posterior-probability-and-how-is-it-different-to-just-using-a-p
    What exactly is posterior probability; ... Frequentist p-values are not true probability distributions, but rather worst-case distributions, if the null is true. The meaning of the Bayesian posterior is that given the actual result, the probability that $\pi=1/3$ is 3.35%. It is unlikely that it is the true value, but there is a small chance it ...

Fast Coalescent-Based Computation of Local Branch Support ...

    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915361/
    We introduce a new method for computing support for species tree branches with regard to a set of unrooted gene trees by calculating Bayesian posterior probabilities. Our support values, which we call local posterior probabilities, are computed based on gene tree quartet frequencies.Cited by: 205

Bayesian inference in phylogeny - Wikipedia

    https://en.wikipedia.org/wiki/Bayesian_inference_in_phylogeny
    Bootstrap values vs Posterior Probabilities. It has been observed that bootstrap support values, calculated under parsimony or maximum likelihood, tend to be lower than the posterior probabilities obtained by Bayesian inference. This fact leads to a number of questions such as: Do posterior probabilities lead to overconfidence in the results?Classification: Evolutionary biology

Comparing bootstrap and posterior probability values in ...

    https://www.cbcb.umd.edu/publications/comparing-bootstrap-and-posterior-probability-values-four-taxon-case
    Whether bootstrap or posterior probability values are higher depends on the data in support of alternative topologies. Examination of star topologies revealed that both bootstrap and posterior probability values differ significantly from theoretical expectations; in particular, there are more posterior probability values in the range 0.85-1 ...

Understanding posterior p-values - Columbia University

    http://www.stat.columbia.edu/~gelman/research/unpublished/ppc_understand2.pdf
    of loaded dice, the probability of getting double-sixes is 0.11,’ or, ‘There is a 50% probability that Barack Obama won more than 52% of the white vote in Michigan in the 2008 election.’ That said, it can sometimes be helpful to compare posterior p-values to their corresponding recalibrated u-values under the prior predictive distribution.

R Tip: Labeling Trees w/ Posterior Probability and ...

    https://treethinkers.blogspot.com/2008/10/labeling-trees-posterior-probability.html
    Oct 18, 2008 · #The plotBayesBoot function below plots both posterior probability and bootstrap values on each node of the consensus tree obtained from your Bayesian analysis. Bootstrap values will appear in bold text immediately below and to the left of the node they support, whereas Bayesian posterior probabilies will appear in regular face above and to the ...Author: Glor



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