posterior probabilities


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Related to posterior probabilities: Prior probabilities

posterior probabilities

[pä′stir·ē·ər präb·ə′bil·əd·ēz]
(statistics)
Probabilities of the outcomes of an experiment after it has been performed and a certain event has occurred.
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Therefore, based on new training set, the posterior probabilities for each class is more reliable than that computed from whole training set.
This particular tree was chosen for illustration because it is very close to the 50% majority rule tree calculated to summarize the Bayesian posterior probabilities so branch support from both analyses can be shown on it.
The decision table with posterior probabilities (Tab.
They are inputs or tuning parameters that determine how the geocoded and surname data are combined to produce posterior probabilities, as detailed in the Appendix S 1 (the greater the sensitivity and specificity, the more the surname results change the probabilities derived from geocoding).
Posterior probabilities can be calculated and individuals with probabilities <75% can be excluded to increase the probability of correctly classifying a tern as male or female.
The aim is to use as many as possible of the variables that FLS found to have posterior probabilities greater than 10%.
A fifty percent majority rule consensus tree was generated from the trees retained, with posterior probabilities for each node estimated by the percentage of time the node was recovered.
This particular prior specification allows a convenient estimation algorithm to be constructed for identifying those allocations associated with high posterior probabilities, given the molecular marker data.
Neural network classifiers estimate of Bayesian posterior probabilities.
They concluded that the averaging classifier is to be preferred in the case when posterior probabilities contain errors.
Decision makers are then assumed to follow an updating process to convert prior probabilities into posterior probabilities and reassess the actions.
This procedure, of course, does not guarantee perfect assignment, but higher posterior probabilities are indicative of more acceptable levels of class assignment.

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