Bayes

Bayes (Probability Calculus) (GWU EMSE-271)
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"{Bayes' Theorem states that judgements should be influenced by two main factors: the base rate, and the likelihood ratio." - [|Wikipedia]


 * More:**
 * 1) "**Bayesian inference** is [|statistical inference] in which evidence or observations are used to update or to newly infer the [|probability] that a hypothesis may be true. The name 'Bayesian' comes from the frequent use of [|Bayes' theorem] in the inference process." - [|Wikipedia]
 * 2) An approach to update initial assessments with "evidence." - [|Wikipedia]
 * 3) "Bayes' Theorem is a result that allows new information to be used to update the conditional probability of an event." - [|Statistics Glossary]
 * 4) Using the Law of Total Probability: P(A | B) = (P(B | A).P(A)) / (P(B | A).P(A) + P(B | A').P(A')) - [|Statistics Glossary]
 * 5) [Subjective Probability]: A subjective probability describes an individual's personal judgement about how likely a particular event is to occur. It is not based on any precise computation but is often a reasonable assessment by a knowledgeable person. [of the Prior Probability - pws] - [|Statistics Glossary]


 * Sources:**
 * EMSE 280, Spring 2009
 * Bayesian inference. (2009, May 1). In //Wikipedia, The Free Encyclopedia//. Retrieved 16:21, May 2, 2009, from []
 * [|Statistics Glossary] v1.1 (STEPS) - Valeried J. Easton and John H. McColl