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 certainty to uncertainty and all intermediate values.
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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.
  
 
[[Category:Probability]]
 
[[Category:Probability]]

Revision as of 00:27, February 22, 2009

Bayesian probability is a particular calculus of inductive plausible reasoning based on the works of Bernoulli, Bayes, Laplace (and more recently of 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.