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Bayes' theorem
(redirected from Bayesian updating)

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Bayes' theorem
[bāz′]
Etymology: Thomas Bayes, British mathematician, 1702-1761
a mathematic statement of the relationships of test sensitivity, specificity, and the predictive value of a positive test result. The predictive value of the test is the number that is useful to the clinician. A positive result demonstrates the conditional probability of the presence of a disease.


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Their topics include Bayesian updating, representations, computation, data structures, the nature of learning, dead reckoning in a neural network, and the molecular basis of memory.
Polarization can result from rational Bayesian updating by group members, but in many contexts, this rational interpretation of polarization seems implausible.
The Model In order to motivate our experiment, we discuss a model based on Farmer and Terrell (1996) and Lewis and Terrell (2001), who examine a statistical discrimination framework with Bayesian updating of employers' beliefs.
 
 
 
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