Bayesian Probability

(redirected from Bayesian Probabilities)
Also found in: Wikipedia.

Bayesian Probability

A revision of a previous probability based on new information. In Bayesian analysis, one makes mathematical assumptions about unavailable information. As that information is gathered and disseminated, the Bayesian probability corrects or replaces the assumptions and alters its results accordingly.
References in periodicals archive ?
Hobbs [8] uses Bayesian probabilities to examine the risk of climate change on water resources, but does not extend this to drinking water quality or quantity.
These algorithms, based on Claude Shannon's principles of information theory, Bayesian probabilities, and the latest research in neural networks, became the foundation for an approach called Adaptive Probabilistic Concept Modeling (APCM).