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	<title>Brett Hutley&#039;s Blog &#187; maths</title>
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	<link>http://bretthutley.com</link>
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		<title>Estimating correlation with missing data</title>
		<link>http://bretthutley.com/2010/10/27/estimating-correlation-with-missing-data/</link>
		<comments>http://bretthutley.com/2010/10/27/estimating-correlation-with-missing-data/#comments</comments>
		<pubDate>Wed, 27 Oct 2010 14:25:59 +0000</pubDate>
		<dc:creator>brett</dc:creator>
				<category><![CDATA[finance]]></category>
		<category><![CDATA[maths]]></category>

		<guid isPermaLink="false">http://www.bretthutley.com/2010/10/27/estimating-correlation-with-missing-data/</guid>
		<description><![CDATA[There's a great article here on estimating correlations and means when you have missing data in your datasets. It uses the Expectation Maximisation algorithm to calculate the missing values, and what is interesting is how much the implied correlation changes after applying EM. Related posts:Getting at CGImageRef pixel data Financial models need more complexity?


Related posts:<ol><li><a href='http://bretthutley.com/programming/cocoaobjective-c-notes/getting-at-cgimageref-pixel-data/' rel='bookmark' title='Getting at CGImageRef pixel data'>Getting at CGImageRef pixel data</a></li>
<li><a href='http://bretthutley.com/2009/09/14/financial-models-need-more-complexity/' rel='bookmark' title='Financial models need more complexity?'>Financial models need more complexity?</a></li>
</ol>]]></description>
			<content:encoded><![CDATA[<p>There's a <a HREF='http://www.sitmo.com/doc/Calculating_Correlation_and_Means_with_Missing_Data'>great article here</a> on estimating correlations and means when you have missing data in your datasets. It uses the Expectation Maximisation algorithm to calculate the missing values, and what is interesting is how much the implied correlation changes after applying EM.  </p>


<p>Related posts:<ol><li><a href='http://bretthutley.com/programming/cocoaobjective-c-notes/getting-at-cgimageref-pixel-data/' rel='bookmark' title='Getting at CGImageRef pixel data'>Getting at CGImageRef pixel data</a></li>
<li><a href='http://bretthutley.com/2009/09/14/financial-models-need-more-complexity/' rel='bookmark' title='Financial models need more complexity?'>Financial models need more complexity?</a></li>
</ol></p>]]></content:encoded>
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		<title>Geek Logik</title>
		<link>http://bretthutley.com/2008/02/11/geek-logik/</link>
		<comments>http://bretthutley.com/2008/02/11/geek-logik/#comments</comments>
		<pubDate>Mon, 11 Feb 2008 16:40:33 +0000</pubDate>
		<dc:creator>brett</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[maths]]></category>

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		<description><![CDATA[Garth Sundem of Geek Logik fame has a blog in which he comes up with formulas for wrapping every-day decisions in a mathematical framework. It's something I've been thinking about for quite a while - especially with regards to procrastination. The trick is to quantify all the factors that you think are important in the [...]


Related posts:<ol><li><a href='http://bretthutley.com/2010/07/19/procrastination-modeling/' rel='bookmark' title='Procrastination Modeling'>Procrastination Modeling</a></li>
</ol>]]></description>
			<content:encoded><![CDATA[<p>Garth Sundem of <a href="http://www.amazon.co.uk/Geek-Logik-Foolproof-Equations-Everyday/dp/0761140212/ref=sr_1_1?ie=UTF8&amp;s=gateway&amp;qid=1202745889&amp;sr=8-1">Geek Logik</a> fame <a href="http://www.scientificblogging.com/garth_sundem">has a blog</a> in which he comes up with formulas for wrapping every-day decisions in a mathematical framework. It's something I've been thinking about for quite a while - especially with regards to procrastination. The trick is to quantify all the factors that you think are important in the issue you are considering, and then describe the relationship between the variables mathematically.</p>


<p>Related posts:<ol><li><a href='http://bretthutley.com/2010/07/19/procrastination-modeling/' rel='bookmark' title='Procrastination Modeling'>Procrastination Modeling</a></li>
</ol></p>]]></content:encoded>
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		<slash:comments>34</slash:comments>
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