Bayes' theorem

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Bayes' theorem

[¦bāz ′thir·əm]
(mathematics)
A theorem stating that the probability of a hypothesis, given the original data and some new data, is proportional to the probability of the hypothesis, given the original data only, and the probability of the new data, given the original data and the hypothesis. Also known as inverse probability principle.
References in periodicals archive ?
The Bayesian approach is a form of advanced statistics, which is used by financial institutions to pick smarter stock trades and even by Google to improve their search and advertising solutions.
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We fit a Bayesian outlier accommodation model to the data, therefore, which is robust to the presence of outliers while allowing for the facility weights to be included in the analysis.
Bayesian theory is well suited for testing a hypothesis in the presence of experimental data.
0 ships with a full featured, mad pre-trained, Bayesian analyser.
The method uses a Bayesian network, a type of mathematical framework useful for representing known or hypothesized causal relationships.