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	<title>eng.kulanov.org.ua &#187; Statistics</title>
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	<link>http://eng.kulanov.org.ua</link>
	<description>GRID Compiting, Grid in Ukraine, Workload performance, modelling and prediction</description>
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		<title>Speeding up with repmat function (MEX version)</title>
		<link>http://eng.kulanov.org.ua/archives/285</link>
		<comments>http://eng.kulanov.org.ua/archives/285#comments</comments>
		<pubDate>Thu, 28 Jul 2011 19:39:44 +0000</pubDate>
		<dc:creator>Sergey Kulanov</dc:creator>
				<category><![CDATA[Matlab]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[bootstrap]]></category>
		<category><![CDATA[GRID Simulation]]></category>
		<category><![CDATA[HMM]]></category>
		<category><![CDATA[howto]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Markov Chain]]></category>
		<category><![CDATA[Markov chain builder]]></category>
		<category><![CDATA[markovian]]></category>
		<category><![CDATA[MEX]]></category>
		<category><![CDATA[Model]]></category>
		<category><![CDATA[multiple arguments]]></category>
		<category><![CDATA[Probability]]></category>
		<category><![CDATA[Programming]]></category>
		<category><![CDATA[Science]]></category>
		<category><![CDATA[Statistics]]></category>
		<category><![CDATA[toolbox]]></category>
		<category><![CDATA[Viterbi]]></category>

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		<description><![CDATA[To run your matlab applications with repmat &#8220;functionality&#8221; faster, you can use MEX format of this function from Lightspeed matlab toolbox. With the same initial conditions you can see &#8220;productivity boosting&#8221;. Figure 1 &#8211; with default repmat function. Figure 2 &#8211; with MEX version of repmat function.]]></description>
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		<title>MLE, MAP, Bayes</title>
		<link>http://eng.kulanov.org.ua/archives/121</link>
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		<pubDate>Mon, 20 Sep 2010 13:56:33 +0000</pubDate>
		<dc:creator>Sergey Kulanov</dc:creator>
				<category><![CDATA[Statistics]]></category>
		<category><![CDATA[bayes]]></category>
		<category><![CDATA[map]]></category>
		<category><![CDATA[mle]]></category>

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		<description><![CDATA[Estimation: ML, Bayes, MAP Principles and calculus at http://www-users.cselabs.umn.edu/classes/Fall-2008/csci5525/notes/estimate.pdf Estimation Simple explanation here: Given the evidence X, MLE considers the parameter vector Θ to be a constant and seeks out that value for the constant that provides maximum support for the evidence. ML does NOT allow us to inject our prior beliefs about the likely [...]]]></description>
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		<title>Statistics, Probability, and Survey Sampling</title>
		<link>http://eng.kulanov.org.ua/archives/83</link>
		<comments>http://eng.kulanov.org.ua/archives/83#comments</comments>
		<pubDate>Tue, 05 Jan 2010 14:56:10 +0000</pubDate>
		<dc:creator>Sergey Kulanov</dc:creator>
				<category><![CDATA[Statistics]]></category>
		<category><![CDATA[Probability]]></category>

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		<description><![CDATA[Some tutorial materials in Statistics and Probability This web site provides training and tools to help you solve statistics problems quickly, easily, and accurately &#8211; without having to ask anyone for help. Follow this link (http://stattrek.com/). I&#8217;ll publish some of my thoughts  as soon as I&#8217;ll get acquainted with this materials.]]></description>
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