posterior probability

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Related to Posterior probabilities: Prior probabilities

posterior probability

n
(Statistics) statistics the probability assigned to some parameter or to an event on the basis of its observed frequency in a sample, and calculated from a prior probability by Bayes' theorem. Compare prior probability See also empirical5
References in periodicals archive ?
In technical terms, these are the posterior probabilities of recession, Pr[[s.
Experts could present a chart mapping different prior probabilities to posterior probabilities.
While the Neyman-Pearson approach is weakened by its own objectivity, the Bayesian approach, which infers the likelihood of an event from the combination of the prior and posterior probabilities distribution, has its main pitfalls in the subjective interpretation of prior probability because it can lead two scientists in obtaining different results starting from the same dataset.
Instead of scanning whole training set, we form a new training set consisted of instances covered by these rules in conflicts to computes the posterior probabilities of each class conditioned on the test instance.
Figure 1 shows that each model yields quite different, and largely incongruent, posterior probabilities.
In the medical field, these posterior probabilities are also known as predictive values (19).
Bayesian methods of phylogeny that calculate the posterior probabilities of the clades based nucleotide substitution models were employed to assess the monophyly of the group.
Another way to test significance would be through computing posterior probabilities.
Among their topics are combining information across genome-wide linkage scans, heterogeneity in the meta-analysis of quantitative trait linkage studies, an approach to composite hypothesis testing built on intersection-union tests and Bayesian posterior probabilities, significance testing for small microarray experiments, combining genomic data in human studies, and a misclassification model for inferring transcriptional regulatory networks.

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