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	<title>depth first search &#187; bayesian</title>
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	<link>http://www.depthfirstsearch.net/blog</link>
	<description>“We can only see a short distance ahead, but we can see plenty there that needs to be done.&#34;</description>
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		<title>Today&#039;s Misc.</title>
		<link>http://www.depthfirstsearch.net/blog/2008/08/13/todays-misc-60/</link>
		<comments>http://www.depthfirstsearch.net/blog/2008/08/13/todays-misc-60/#comments</comments>
		<pubDate>Wed, 13 Aug 2008 18:07:41 +0000</pubDate>
		<dc:creator>JS</dc:creator>
				<category><![CDATA[computer science]]></category>
		<category><![CDATA[bayesian]]></category>
		<category><![CDATA[statistics]]></category>

		<guid isPermaLink="false">http://www.depthfirstsearch.net/blog/?p=497</guid>
		<description><![CDATA[Here&#8217;s a figure that keeps mysteriously appearing in presentations. It is a cartoon representation of model evidence (from Bishop&#8217;s Pattern Recognition and Machine Learning), but it seems to often be mistaken for Bayesian model comparison generally.]]></description>
			<content:encoded><![CDATA[<p>Here&#8217;s a figure that keeps mysteriously appearing in presentations.</p>
<p><a href="http://www.depthfirstsearch.net/blog/wp-content/uploads/2008/08/figure.png"><img class="alignnone size-medium wp-image-496" title="figure" src="http://www.depthfirstsearch.net/blog/wp-content/uploads/2008/08/figure-300x223.png" alt="" width="300" height="223" /></a></p>
<p>It is a cartoon representation of model evidence (from Bishop&#8217;s <a href="http://research.microsoft.com/~cmbishop/prml/">Pattern Recognition and Machine Learning</a>), but it seems to often be mistaken for Bayesian model comparison generally.</p>
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		<title>With Some Urgency</title>
		<link>http://www.depthfirstsearch.net/blog/2007/09/11/with-some-urgency/</link>
		<comments>http://www.depthfirstsearch.net/blog/2007/09/11/with-some-urgency/#comments</comments>
		<pubDate>Tue, 11 Sep 2007 22:24:39 +0000</pubDate>
		<dc:creator>JS</dc:creator>
				<category><![CDATA[books]]></category>
		<category><![CDATA[computer science]]></category>
		<category><![CDATA[bayesian]]></category>
		<category><![CDATA[statistics]]></category>

		<guid isPermaLink="false">http://www.depthfirstsearch.net/2007/09/11/with-some-urgency/</guid>
		<description><![CDATA[I&#8217;ve become increasingly convinced that I need to understand both applied and theoretical Bayesian inference. Since the department offers no courses on the subject (Engineering might, but that will have to wait for another semester), I&#8217;m collecting library books that deal (sometimes tangentially) with the subject. The library has a lot of books that have [...]]]></description>
			<content:encoded><![CDATA[<p>I&#8217;ve become increasingly convinced that I need to understand both applied and theoretical Bayesian inference. Since the department offers no courses on the subject (Engineering might, but that will have to wait for another semester), I&#8217;m collecting library books that deal (sometimes tangentially) with the subject.</p>
<p>The library has a lot of books that have one or more of the words Bayesian, statistics, inference or probability in the title.</p>
<p>I picked four at random to start:</p>
<p>1. Basic Principles and Applications of Probability Theory</p>
<p>2. Kendall&#8217;s Advance Theory of Statistics Volume 2B Bayesian Inference</p>
<p>3. Baseyian Core: A Practicle Approach to Computational Bayesian Statistics</p>
<p>4. Foundations of Modern Probability</p>
<p>We&#8217;ll see how it goes.</p>
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