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Bayes' theorem
(redirected from Bayesian updating)

    Also found in: Medical, Encyclopedia, Wikipedia 0.09 sec.

Bayes' theorem

In statistics, a theorem relating the probability of particular events taking place to the probability that events conditional upon them have occurred.

For example, the probability of picking an ace at random out of a pack of cards is 4/52. If two cards are picked out, the probability of the second card being an ace is conditional on the first card: if the first card is an ace the probability of drawing a second ace will be 3/51; if not it will be 4/51. Bayes' theorem gives the probability that given that the second card is an ace, the first card is also.



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? Mentioned in ? References in periodicals archive
 
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.
Memory and the computational brain; why cognitive science will ... by SciTech Book News
Polarization can result from rational Bayesian updating by group members, but in many contexts, this rational interpretation of polarization seems implausible.
Law and Economics by NBER Reporter
Central to such models is the consideration of "condition states" that are not directly observable but that can be subject to some form of Bayesian updating given other observable variables.
Hierarchical Bayes methods for systems with spatially varying ... by Maes, Marc A.; Dann, Markus / Canadian Journal of Civil Engineering
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