[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Links from Today's class + Bayesian brain..
- To: firstname.lastname@example.org
- Subject: Links from Today's class + Bayesian brain..
- From: "Subbarao Kambhampati" <email@example.com>
- 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: firstname.lastname@example.org
is a link to an article in Economist about some research that seems to
show that people might be using prior distributions to make
predictions. The article also points out a more important
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.
(and here is a more technical paper on which that article is based:
See also Wikipedia entry for Bayesian Probability http://en.wikipedia.org/wiki/Bayesian_probability
which makes it clear that a Bayesian does not tie
to relative frequencies--she is happy to give a probability to some
event such as "seeing a grue wearing green shorts". This view of
is sometimes called "personal" probability. Bayesianism has come to dominate probability and statistics.
The Human Language series I mentioned is the series described at
It is an eminently watchable video series. The ASU media library has copies of this video.