Bayesian Probability

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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.
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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.
- A Mathematica notebook version 3.0 (Wolfram 1996), that can be used for estimating parameters and test the different hypotheses as well as estimating the Bayesian probabilities of the different ecological scenarios from a given data set, can be downloaded from the World Wide Web.(1)
Standard Bayesian probabilities are based on the assumption that the supremum of the betting-quotients which give an advantage to the bettor-on is equal to the infimum of the quotients which give an advantage to the bettor-against.
Tilton; "A Pattern for the Squares of Integers," by Kim Mai; "Using an 'n X m' Contingency Table To Determine Bayesian Probabilities: An Alternative Strategy," by Eiki Satake, William Gilligan, and Philip Amato; "An Appropriate Culminating Mathematics Course," by Bill Haver and Gwen Turbeville; and "Community College Success in an International Mathematics Competition," by John Loase and Rowan Lindley.
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