posterior probability


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Related to posterior probability: Prior probability

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 ?
On the H1 phylogeny, the 5 H1N2 viruses collected from swine in Brazil during 2011 also are monophyletic, although the clade is supported by just below the 70% bootstrap threshold on the ML tree (64% bootstrap support, online Technical Appendix Figure 2) and 80% posterior probability threshold on the MCC tree (79%, Figure 3).
By Markov-Gibbs equivalence which is given by the Hammersley-Clifford theorem maximization of the posterior probability is equivalent to minimizing the posterior energy function U(x,y).
The posterior probability of a non-null impact was large in the Milan and Brescia areas and in other urban centers of the Po valley (Figure 2D).
The posterior probability distributions do not have any simple form because of the complex dependence of the front behaviour on the model parameters.
Based on the available evidence, the posterior probability of strict monotonicity is 59 percent, while the posterior probability of weak monotonicity is 83 percent.
The naive Bayesian classifier will predict that an instance X belongs to the class having the highest posterior probability, conditioned on X.
Bayesian inference structure gives the posterior probability of the entire function, and serves as the reference for parameter optimization.
For this purpose the posterior probability boundary is calculated, based on the assumption that the error took place.
The joint posterior probability distribution for the post-retrofit regression parameter vector E and the variance [[sigma.
Table 1 The 5 Largest Model Posterior Probability by BMA Model Constant Primary Secondary Tertiary industry industry industry Model 1 364.

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