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	<title>amarkos&#124;gr&#124;blog &#187; Statistics</title>
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	<link>http://www.amarkos.gr/blog</link>
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		<title>All others bring data</title>
		<link>http://www.amarkos.gr/blog/2010/08/539/</link>
		<comments>http://www.amarkos.gr/blog/2010/08/539/#comments</comments>
		<pubDate>Sun, 08 Aug 2010 21:49:20 +0000</pubDate>
		<dc:creator>amarkos</dc:creator>
				<category><![CDATA[Επιστήμη]]></category>
		<category><![CDATA[Όλα είναι Πολιτική]]></category>
		<category><![CDATA[bias]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://www.amarkos.gr/blog/?p=539</guid>
		<description><![CDATA[Straight Statistics is a pressure group whose aim is to detect and expose the distortion and misuse of statistical information, and identify those responsible. It has been formed by a group of legislators, statisticians and journalists, chaired by the Labour peer Lord Lipsey. Share this post:]]></description>
			<content:encoded><![CDATA[<p><center><a href="http://www.amarkos.gr/blog/wp-content/uploads/2010/08/stats-logo.gif"><img src="http://www.amarkos.gr/blog/wp-content/uploads/2010/08/stats-logo.gif" alt="" title="stats-logo" width="283" height="78" class="aligncenter size-full wp-image-540" /></a></center></p>
<blockquote><p><a href="http://www.straightstatistics.org/">Straight Statistics</a> is a pressure group whose aim is to detect and expose the distortion and misuse of statistical information, and identify those responsible. It has been formed by a group of legislators, statisticians and journalists, chaired by the Labour peer Lord Lipsey. </p></blockquote>
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		</item>
		<item>
		<title>Στατιστική: Απλές συμβουλές για τα media</title>
		<link>http://www.amarkos.gr/blog/2010/01/490/</link>
		<comments>http://www.amarkos.gr/blog/2010/01/490/#comments</comments>
		<pubDate>Sun, 24 Jan 2010 09:38:56 +0000</pubDate>
		<dc:creator>amarkos</dc:creator>
				<category><![CDATA[Όλα είναι Πολιτική]]></category>
		<category><![CDATA[comics]]></category>
		<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://www.amarkos.gr/blog/?p=490</guid>
		<description><![CDATA[[via] Statistical Modeling, Causal Inference, and Social Science Thanks to Piled Higher and Deeper. Share this post:]]></description>
			<content:encoded><![CDATA[<p><img src="http://www.phdcomics.com/comics/archive/phd012010s.gif" width=500/></p>
<p>[via] <a href="http://www.stat.columbia.edu/~cook/movabletype/archives/2010/01/quick_summary_o.html">Statistical Modeling, Causal Inference, and Social Science</a></p>
<p>Thanks to <a href="http://www.phdcomics.com/">Piled Higher and Deeper</a>.</p>
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		</item>
		<item>
		<title>Rated R for Language</title>
		<link>http://www.amarkos.gr/blog/2009/05/357/</link>
		<comments>http://www.amarkos.gr/blog/2009/05/357/#comments</comments>
		<pubDate>Sat, 02 May 2009 18:43:53 +0000</pubDate>
		<dc:creator>amarkos</dc:creator>
				<category><![CDATA[Επιστήμη]]></category>
		<category><![CDATA[conference]]></category>
		<category><![CDATA[data analysis]]></category>
		<category><![CDATA[R]]></category>
		<category><![CDATA[Statistics]]></category>
		<category><![CDATA[useR]]></category>

		<guid isPermaLink="false">http://www.amarkos.gr/blog/?p=357</guid>
		<description><![CDATA[If you regularly deal with problems related to Statistics and you haven&#8217;t even heard about R, then you&#8217;ve definitely committed a data sin. The R language has become a de facto standard among data analysts and miners for the development of statistical software. R has many advantages such as that it&#8217;s free as in freedom [...]]]></description>
			<content:encoded><![CDATA[<p>If you regularly deal with problems related to Statistics and you haven&#8217;t even heard about <a href="http://www.r-project.org">R</a>, then you&#8217;ve definitely committed a data sin. The R language has become a de facto standard among data analysts and miners for the development of statistical software. </p>
<p>R has many advantages such as that it&#8217;s free as in freedom and that you have a lot of prepackaged stuff that’s already available (read the popular <a href="http://www.nytimes.com/2009/01/07/technology/business-computing/07program.html?_r=1">New York Times article</a>). R has its own conference, <a href="http://www.agrocampus-ouest.fr/math/useR-2009/">useR!, which in 2009</a> will be held at Rennes, France. </p>
<p>I&#8217;m a regulaR user since 2006, when I first discovered the power of R thRough <a href="http://www.amazon.com/R-Book-Michael-J-Crawley/dp/0470510242">&#8220;the R Book&#8221; by Michael Crawley</a>. I wrote some code <a href="http://www.amarkos.gr/research/tallmca/">for a recent paper</a> and right now I&#8217;m working on my first R package. Unfortunately, R is not at all popular in Greece, where (almost) everyone uses SPSS or other commercial software. R is mainstream but I think it&#8217;s here to stay. </p>
<p>So, don&#8217;t be lazy, try R and see for yourself if it fits your needs.</p>
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		<item>
		<title>A Tribute to the SVD</title>
		<link>http://www.amarkos.gr/blog/2009/04/326/</link>
		<comments>http://www.amarkos.gr/blog/2009/04/326/#comments</comments>
		<pubDate>Wed, 01 Apr 2009 20:06:06 +0000</pubDate>
		<dc:creator>amarkos</dc:creator>
				<category><![CDATA[Επιστήμη]]></category>
		<category><![CDATA[data analysis]]></category>
		<category><![CDATA[matrix factorization]]></category>
		<category><![CDATA[Statistics]]></category>
		<category><![CDATA[svd]]></category>

		<guid isPermaLink="false">http://www.amarkos.gr/blog/?p=326</guid>
		<description><![CDATA[It was a love at first sight. The Singular Value Decomposition-SVD came into my (research) life back in 2002 as a crucial step of a whole family of Multivariate Data Analysis methods, such as Correspondence Analysis, Principal Component Analysis, Multidimensional Scaling and other. Most of us take advantage of its nice geometric properties as a [...]]]></description>
			<content:encoded><![CDATA[<p align="justify">It was a love at first sight. The Singular Value Decomposition-SVD came into my (research) life back in 2002 as a crucial step of a whole family of Multivariate Data Analysis methods, such as Correspondence Analysis, Principal Component Analysis, Multidimensional Scaling and other. Most of us take advantage of its nice geometric properties as a &#8220;black box&#8221;, since it&#8217;s an important factorization technique with a wide spectrum of applications in statistics and machine learning.</p>
<p align="justify">I was wondering how many research articles mention the term SVD in a time period from 1970 to 2008, so I did a series of searches in Google Scholar. SVD gains more and more attention (see Figure below), especially after 1990, with a boom during the 00s. However, I can&#8217;t explain the fall in 2008 (I bet it&#8217;s not statistically significant :p). How long can the SVD stand the competition of more efficient methods? Will see.</p>
<div id="attachment_333" class="wp-caption aligncenter" style="width: 472px"><a href="http://www.amarkos.gr/blog/wp-content/uploads/2009/04/svd-scholar.png"><img src="http://www.amarkos.gr/blog/wp-content/uploads/2009/04/svd-scholar.png" alt="SVD Search Results in Google Scholar" title="svd-scholar" width="462" height="206" class="size-full wp-image-333" /></a><p class="wp-caption-text">SVD Search Results in Google Scholar</p></div>
<p>[read more at <a href="http://en.wikipedia.org/wiki/Singular_value_decomposition">Wikipedia</a>]</p>
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		<item>
		<title>2009 Conference Schedule</title>
		<link>http://www.amarkos.gr/blog/2009/02/317/</link>
		<comments>http://www.amarkos.gr/blog/2009/02/317/#comments</comments>
		<pubDate>Thu, 26 Feb 2009 16:38:33 +0000</pubDate>
		<dc:creator>amarkos</dc:creator>
				<category><![CDATA[Επιστήμη]]></category>
		<category><![CDATA[conference]]></category>
		<category><![CDATA[Science]]></category>
		<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://www.amarkos.gr/blog/?p=317</guid>
		<description><![CDATA[Here&#8217;s a list of the 7 conferences I’m attending and/or participating as an author in 2009: 11th International Federation of Classification Societies 2009 Conference (IFCS 2009), March 13-18, Dresden Germany (Program). 5th IFIP Conference on Artificial Intelligence Applications &#038; Innovations, AIAI 2009, April 23-25, Thessaloniki (Program). 22nd Panhellenic Statistics Conference, Chania, Crete, Greece, ESI 2009, [...]]]></description>
			<content:encoded><![CDATA[<p>Here&#8217;s a list of the 7 conferences I’m attending and/or participating as an author in 2009:</p>
<ul>
<li><a href="http://www.ifcs2009.de/">11th International Federation of Classification Societies 2009 Conference</a> (IFCS 2009), March 13-18, Dresden Germany (<a href="https://www.gfkl.de/conf2009/htdocs/index.php?page=browseSessions&#038;conf2009%2Fhtdocs%2Findex.php=&#038;abstracts=show&#038;presentations=show&#038;form_session=36">Program</a>).</li>
<li><a href="http://delab.csd.auth.gr/aiai2009/">5th IFIP Conference on<br />
Artificial Intelligence Applications &#038; Innovations</a>, AIAI 2009, April 23-25, Thessaloniki (<a href="http://delab.csd.auth.gr/aiai2009/program.html">Program</a>).</li>
<li><a href="http://www.tuc.gr/esi2009-en.html">22nd Panhellenic Statistics Conference</a>, Chania, Crete, Greece, ESI 2009, 22-26 April, Chania, Crete, Greece.</li>
<li><a href="http://www.ice-b.org/">International Conference on e-Business<br />
ICE-B 2009 – International Conference on e-Business</a>, July 7-10, Milan, Italy.</li>
<li><a href="http://datan.uom.gr/en/pcda09/">5th Panhellenic Data Analysis Conference with International Participation</a>, PCDA09, 10-12 September 2009, Rethymno, Crete, Greece.</li>
<li><a href="http://www.city.academic.gr/special/academix/events/bci/bci09/papers.html">4th Balkan Conference in Informatics</a>,  BCI 09, 17-19 September, Thessaloniki, Greece.</li>
<li><a href="http://www.aueb.gr/conferences/hercma2009/">9th Hellenic European Research on Computer Mathematics &#038; its Applications Conference</a>, HERCMA 2009, September 24-26, Athens, Greece.</li>
</ul>
<p>See you there!</p>
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