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	<title>Establishing causality - Revision history</title>
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		<author><name>Ilya</name></author>
		
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		<title>nemenman&gt;Ilya at 22:27, 26 February 2008</title>
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&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Establishing causality of interactions in networks is a difficult task. Here are some attempts.&lt;br /&gt;
&lt;br /&gt;
==Bibliography==&lt;br /&gt;
*Information-theoretic methods:&lt;br /&gt;
*#M Vejmelka and M Palus. Inferring the directionality of coupling with conditional mutual information. ''PRE'' '''77''', 026214 (2008). [[media:vejmelka-etal-08.pdf | PDF]].&lt;br /&gt;
*#;Abstract: Uncovering the directionality of coupling is a significant step in understanding drive-response relationships in complex systems. In this paper, we discuss a nonparametric method for detecting the directionality of coupling based on the estimation of information theoretic functionals. We consider several different methods for estimating conditional mutual information. The behavior of each estimator with respect to its free parameter is shown using a linear model where an analytical estimate of conditional mutual information is available. Numerical experiments in detecting coupling directionality are performed using chaotic oscillators, where the influence of the phase extraction method and relative frequency ratio is investigated.&lt;br /&gt;
*#;Comments:&lt;br /&gt;
&lt;br /&gt;
[[Category:Literature review]]&lt;/div&gt;</summary>
		<author><name>nemenman&gt;Ilya</name></author>
		
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