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*To*: cse471-f06@parichaalak.eas.asu.edu*Subject*: Links from Today's class + Bayesian brain..*From*: "Subbarao Kambhampati" <rao@asu.edu>*Date*: Mon, 16 Oct 2006 22:02:27 -0700*Domainkey-signature*: a=rsa-sha1; q=dns; c=nofws; s=beta; d=gmail.com; h=received:message-id:date:from:sender:to:subject:mime-version:content-type:x-google-sender-auth; b=ZuPD1RFgakLhfSfQW9nOXXSlSq1F7hdPSLKb2yxxE8P7I+NRr53nsFp42RY8MnYNctBAw2Esown+lZw4+vnWr5Kj4NZmECZ6clXoozw7FIBXGDMUOzXIN7Rn9Jb5Kuh2iprNHSN+BHBh4AF/ckirCZa30MYRRufi3q1VDI4ru+o=*Sender*: subbarao2z2@gmail.com

reason why Bayes is considered big--Bayesian view in statistics allows predictions even with little data, since it assumes that there may be a prior distribution. Frequentists on the other hand distrust priors

and depend only on the data. In practice this means that Bayesians can jump to conclusions with much less data.

http://www.economist.com/science/displaystory.cfm?story_id=5354696&no_na_tran=1

(and here is a more technical paper on which that article is based: http://web.mit.edu/cocosci/Papers/Griffiths-Tenenbaum-PsychSci06.pdf )

See also Wikipedia entry for Bayesian Probability http://en.wikipedia.org/wiki/Bayesian_probability which makes it clear that a Bayesian does not tie

probabilities to relative frequencies--she is happy to give a probability to some event such as "seeing a grue wearing green shorts". This view of probability

is sometimes called "personal" probability. Bayesianism has come to dominate probability and statistics.

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The Human Language series I mentioned is the series described at http://www.thehumanlanguage.com/page1.html

It is an eminently watchable video series. The ASU media library has copies of this video.

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