<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/'><id>tag:blogger.com,1999:blog-5441519817884072981.post2543575272508196749..comments</id><updated>2009-01-05T19:15:52.797-08:00</updated><title type='text'>Comments on Introduction to Bayesian Thinking: R computations for a proportion using a beta prior...</title><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://learnbayes.blogspot.com/feeds/2543575272508196749/comments/default'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5441519817884072981/2543575272508196749/comments/default'/><link rel='alternate' type='text/html' href='http://learnbayes.blogspot.com/2007/09/r-computations-for-proportion-using.html'/><author><name>Jim Albert</name><uri>http://www.blogger.com/profile/12622333572321654094</uri><email>noreply@blogger.com</email></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>1</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-5441519817884072981.post-6131913347817067402</id><published>2009-01-05T19:15:00.000-08:00</published><updated>2009-01-05T19:15:00.000-08:00</updated><title type='text'>Dear Dr. Albert, in your book, the introductory ex...</title><content type='html'>Dear Dr. Albert, in your book, the introductory example for the same model (for the proportion of sleepers), the parameters for the prior are said to be obtained by trial and error.  I wonder if there is an analytical way to do it, using the properties of the beta distribution.  Thanks.</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5441519817884072981/2543575272508196749/comments/default/6131913347817067402'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5441519817884072981/2543575272508196749/comments/default/6131913347817067402'/><link rel='alternate' type='text/html' href='http://learnbayes.blogspot.com/2007/09/r-computations-for-proportion-using.html?showComment=1231211700000#c6131913347817067402' title=''/><author><name>Seb</name><uri>http://www.blogger.com/profile/10072402554744706143</uri><email>noreply@blogger.com</email><gd:extendedProperty xmlns:gd='http://schemas.google.com/g/2005' name='OpenSocialUserId' value='14361610211205316426'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='http://learnbayes.blogspot.com/2007/09/r-computations-for-proportion-using.html' ref='tag:blogger.com,1999:blog-5441519817884072981.post-2543575272508196749' source='http://www.blogger.com/feeds/5441519817884072981/posts/default/2543575272508196749' type='text/html'/></entry></feed>