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	<title>Comments on: R package for robust priors</title>
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	<description>The blog of John D. Cook</description>
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		<title>By: Gene Harris</title>
		<link>http://www.johndcook.com/blog/2009/05/11/r-package-for-robust-priors/comment-page-1/#comment-17466</link>
		<dc:creator>Gene Harris</dc:creator>
		<pubDate>Fri, 15 May 2009 02:45:10 +0000</pubDate>
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		<description>Nice abstract.  Now I want to read the paper.</description>
		<content:encoded><![CDATA[<p>Nice abstract.  Now I want to read the paper.</p>
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		<title>By: Alex</title>
		<link>http://www.johndcook.com/blog/2009/05/11/r-package-for-robust-priors/comment-page-1/#comment-17315</link>
		<dc:creator>Alex</dc:creator>
		<pubDate>Tue, 12 May 2009 03:24:33 +0000</pubDate>
		<guid isPermaLink="false">http://www.johndcook.com/blog/?p=2267#comment-17315</guid>
		<description>Cool! I&#039;ve been quite interested by the use of fat-tailed priors in Bayesian analysis since Gelman et al&#039;s paper on weak priors (http://www.stat.columbia.edu/~gelman/research/published/priors11.pdf), and I&#039;ve recently been experimenting with the use of fat-tailed distributions for robust hierarchical modeling. Nice to see some software for it.</description>
		<content:encoded><![CDATA[<p>Cool! I&#8217;ve been quite interested by the use of fat-tailed priors in Bayesian analysis since Gelman et al&#8217;s paper on weak priors (<a href="http://www.stat.columbia.edu/~gelman/research/published/priors11.pdf)" rel="nofollow">http://www.stat.columbia.edu/~gelman/research/published/priors11.pdf)</a>, and I&#8217;ve recently been experimenting with the use of fat-tailed distributions for robust hierarchical modeling. Nice to see some software for it.</p>
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