Difference between revisions of "Bayesian Probability"
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| − | '''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli|Bernoulli]], [[Rev Thomas Bayes|Bayes]], [[Pierre Simon de Laplace|Laplace]] (and more recently of [[Sir Harold Jeffreys|Jeffreys]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values. | + | '''Bayesian probability''' is a particular calculus of inductive plausible reasoning based on the works of [[Jacob Bernoulli|Bernoulli]], [[Rev Thomas Bayes|Bayes]], [[Pierre Simon de Laplace|Laplace]] (and more recently of [[Sir Harold Jeffreys|Jeffreys]],[[Richard T. Cox|Cox]], and [[Edwin T. Jaynes|Jaynes]]) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values. |
[[Category:Probability]] | [[Category:Probability]] | ||
Revision as of 19:39, February 28, 2009
Bayesian probability is a particular calculus of inductive plausible reasoning based on the works of Bernoulli, Bayes, Laplace (and more recently of Jeffreys,Cox, and Jaynes) in which probability is interpreted as the degree that a proposition/hypothesis/model is true ranging from complete certainty to complete certainty of its falsehood and all intermediate values.
