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.
References in periodicals archive ?
In this paper, we propose a decision surface of every two X-ray pulsars' recognition based on the Bayesian theory firstly and derive the recognition performance.
It discusses this analysis using two-dimensional semantics and the Bayesian theory.
The Rev Thomas Bayes devised the "Bayesian theory" that helps take some of the guesswork out of betting.
The section 'Judgement and Decision-Making' highlights the disagreements among the contributors on whether the proper framework for human cognition should be Bayesian theory, heuristics, or naive statistics, and it considers the assessment of the normative implications of these alternatives.
Clark includes a description of Bayesian theory for comparison and contrast and a number of exercises readers can use to uncover the nature of the models using both classic and new data sets.
Interestingly, Chapline [13] noted that neither Bayesian theory nor Dempster-Shafer could offer insight on how to minimize overall energy usage in the network.
Essentially, Bayesian theory tells us how to express and manipulate probabilities.
Models of model uncertainty that have the decisionmakers entertain multiple models require modifying the Bayesian theory of learning.
In addition, Neil says, Bayesian theory lacks the predictability and scalability which internet users require.
Gower suggests that Bayesian Theory may provide the correct answers to questions about how scientists' beliefs ought be fixed.
The Certain Factor (CF) approach (Shortliffe, 1976) has been successfully used in MYCIN, one of the earliest expert systems for medical diagnostics which is based on the Bayesian theory. The CF is a number between -1 and +1.