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Topic: Bayes theorem

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	Bayes' theorem - Wikipedia, the free encyclopedia
		Bayes's theorem (also known as Bayes's rule) is a result in probability theory, which relates the conditional and marginal probability distributions of random variables.
		As a formal theorem, Bayes's theorem is valid in all interpretations of probability.
		Bayes's theorem is named after the Reverend Thomas Bayes (1702–1761), who studied how to compute a distribution for the parameter of a binomial distribution (to use modern terminology).
	en.wikipedia.org /wiki/Bayes%27_theorem (2561 words)

	Bayes' theorem at opensource encyclopedia (Site not responding. Last check: 2007-10-08)
		Bayes' theorem is a result in probability theory, which states the conditional probability of a variable A given B in terms of the conditional probability of variable B given A and the marginal probability of A alone.
		As a mathematical theorem, Bayes' theorem is valid in all interpretations of probability.
		Bayes worked on the problem of computing a distribution for the parameter of a binomial distribution (to use modern terminology); his work was edited and presented posthumously (1763) by his friend Richard Price, in An Essay towards solving a Problem in the Doctrine of Chances.
	www.wiki.tatet.com /Bayes%27_theorem.html (2214 words)

	Bayes' Theorem
		Indeed, the Theorem's central insight — that a hypothesis is confirmed by any body data that its truth renders probable — is the cornerstone of all subjectivist methodology.
		In this guise Bayes's theorem is particularly useful for inferring causes from their effects since it is often fairly easy to discern the probability of an effect given the presence or absence of a putative cause.
		Though a mathematical triviality, the Theorem's central insight — that a hypothesis is supported by any body of data it renders probable — lies at the heart of all subjectivist approaches to epistemology, statistics, and inductive logic.
	plato.stanford.edu /entries/bayes-theorem (7490 words)

	Bayes' Rule
		Bayes nets (directed graphical models) are a natural way to represent many hierarchical Bayesian models.
		Bayes Theorem is commonly ascribed to the Reverent Thomas Bayes (1701-1761) who left one hundred pounds in his will to Richard Price ``now I suppose Preacher at Newington Green.'' Price discovered two unpublished essays among Bayes's papers which he forwarded to the Royal Society.
		Bayes theorem and, in particular, its emphasis on prior probabilities has caused considerable controversy.
	www.cs.ubc.ca /~murphyk/Bayes/bayesrule.html (1226 words)

	Math to fight spam - Network World
		The Rev. Thomas Bayes (1702-1761) is best known for his paper published posthumously in the Philosophical Transactions of the Royal Society of London in 1763 titled "Essay Towards Solving a Problem in the Doctrine of Chances".
		Last week we promised to elucidate Bayesian filtering, a technique used for getting rid of spam and Bayes was the discoverer of Bayes Theorem upon which Bayesian filtering is based.
		Bayes Theorem is a way of calculating the probability that an event will occur based on the number of times that event has occurred in previous trials.
	www.networkworld.com /columnists/2003/0922gearhead.html (680 words)

	Richard Swinburne (ed.) - Bayes's Theorem - Reviewed by Branden Fitelson , University of California'Berkeley - ...
		Swinburne, Richard (ed.), Bayes's Theorem, Oxford University Press, 2002, 160pp, $24.95 (hbk), ISBN 0197262678.
		In the first part of his paper, Sober talks about âfavoring,â which, presumably, involves evidence favoring the truth of one hypothesis over another (not, say, favoring the predictive accuracy of one over another), but in the second part he talks only about comparative judgments of predictive accuracy and not about truth.
		He presents his âlogicâ without crucial details concerning the proofs of the key theorems that purport to forge the strong analogy between deductive logic and his Bayesian âlogicâ.
	ndpr.nd.edu /review.cfm?id=1307 (2875 words)

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