Bayesian theory

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Bayesian theory

[′bāz·ē·ən ‚thē·ə·rē]
(statistics)
A theory, as of statistical inference or decision making, in which probabilities are associated with individual events or statements rather than with sequences of events.
References in periodicals archive ?
To achieve this, we used Bayesian probability to estimate the probability of predation and the true value of the predated species given the best available information regarding the probability of predation.
In a nonspecific area of South Florida, a single successful python feeding (with a Bayesian probability of success estimated at 0.
Working from our generic model as a starting point, a single successful python feeding in the Keys (still reflecting Bayesian probability of success estimated at 0.
If the misfit results from additional scattering from an unattributed impurity phase then we can formulate this within the context of Bayesian probability theory and develop an appropriate refinement procedure.
This is just the situation where Bayesian probability theory can come to the rescue.
Therefore, to guide decisionmaking, practitioners need to become more facile with using test performance characteristics, Bayesian probability revision, and probability thresholds.
Therefore, knowledge of test performance characteristics and the use of these data in Bayesian probability revision is important for practitioners.
This is achieved through a combination of manual and automated spam analysis that includes real-time black lists, Lexical analysis tests, textual content characteristics, header information, Bayesian probability techniques, Distributed Checksum Clearinghouse, centralised analysis and customer controlled lists.
MessageLabs' fourth-generation anti-spam service features multiple detection techniques including thousands of heuristics rules, Bayesian probability, smart signatures, fuzzy fingerprints and open proxy detection.
Fullerton will oversee the development of online troubleshooters for Microsoft Product Support Services, using a unique application of Bayesian probability networks developed by Microsoft's Decision Theory and Adaptive Systems Group.