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    <title><![CDATA[Using Julia to compute the Kantorovich distance]]></title>
    <link><![CDATA[https://stla.overblog.com/2014/04/using-julia-to-compute-the-kantorovich-distance.html]]></link>
    <guid>https://stla.overblog.com/2014/04/using-julia-to-compute-the-kantorovich-distance.html</guid>
    <pubDate>Wed, 09 Apr 2014 20:18:18 +0200</pubDate>
    <description><![CDATA[GLPK library In the article 'Using R to compute the Kantorovich distance' I have shown how to use the cddlibb C library through R with the help of the rccd R package to compute the Kantorovich distance between two probability measures (on a finite set).... ]]></description>
        <dc:creator><![CDATA[Stéphane Laurent]]></dc:creator>
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                    <item>
    <title><![CDATA[Schematizing the variance as a moment of inertia]]></title>
    <link><![CDATA[https://stla.overblog.com/schematizing-the-variance-as-a-moment-of-inertia]]></link>
    <guid>https://stla.overblog.com/schematizing-the-variance-as-a-moment-of-inertia</guid>
    <pubDate>Sun, 06 Oct 2013 11:33:42 +0200</pubDate>
    <description><![CDATA[In order to make a presentation, I was wondering how to display the variance of a distribution, or the variance, of a sample on a graphic. Finally, I've found this solution: What is this “ellipse” with an arrow ? This is a picture commonly used in classical... ]]></description>
        <dc:creator><![CDATA[Stéphane Laurent]]></dc:creator>
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                    <item>
    <title><![CDATA[Using R to compute the Kantorovich distance]]></title>
    <link><![CDATA[https://stla.overblog.com/using-r-to-compute-the-kantorovich-distance]]></link>
    <guid>https://stla.overblog.com/using-r-to-compute-the-kantorovich-distance</guid>
    <pubDate>Tue, 02 Jul 2013 19:29:10 +0200</pubDate>
    <description><![CDATA[This article is now at http://stla.github.io/stlapblog/posts/KantorovichWithR.html. ]]></description>
        <dc:creator><![CDATA[Stéphane Laurent]]></dc:creator>
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                    <item>
    <title><![CDATA[Sample size determination for a Gaussian mean]]></title>
    <link><![CDATA[https://stla.overblog.com/sample-size-determination-for-a-gaussian-mean]]></link>
    <guid>https://stla.overblog.com/sample-size-determination-for-a-gaussian-mean</guid>
    <pubDate>Sat, 13 Apr 2013 21:06:03 +0200</pubDate>
    <description><![CDATA[Sample size determination for a mean Sample size determination for a mean This article explains the methodology implemented in the Shiny application availbale at http://glimmer.rstudio.com/stla/samplesize_mean/ Statement of the problem Consider a preliminary... ]]></description>
        <dc:creator><![CDATA[Stéphane Laurent]]></dc:creator>
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                    <item>
    <title><![CDATA[A reactive sliced 3D surface response in a html report with Shiny]]></title>
    <link><![CDATA[https://stla.overblog.com/reactive-3d-surface]]></link>
    <guid>https://stla.overblog.com/reactive-3d-surface</guid>
    <pubDate>Fri, 15 Mar 2013 22:40:53 +0100</pubDate>
    <description><![CDATA[A reactive sliced 3D surface response A reactive sliced 3D surface response In my previous article I showed an interactive 3D surface response fitted from a model with two continous predictors. But when there is more than two continuous predictors, since... ]]></description>
        <dc:creator><![CDATA[Stéphane Laurent]]></dc:creator>
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                    <item>
    <title><![CDATA[Including an interactive 3D rgl graphic in a html report with knitr]]></title>
    <link><![CDATA[https://stla.overblog.com/including-an-interactive-3d-rgl-graphic-with-knitr]]></link>
    <guid>https://stla.overblog.com/including-an-interactive-3d-rgl-graphic-with-knitr</guid>
    <pubDate>Fri, 08 Mar 2013 19:11:33 +0100</pubDate>
    <description><![CDATA[This article is now at http://stla.github.io/stlapblog/posts/rgl_knitr.html.
 - CanvasMatrix.js
 - testgl1snapshot.png
 - testgl2snapshot.png
 - CanvasMatrix - Copie.js ]]></description>
        <dc:creator><![CDATA[Stéphane Laurent]]></dc:creator>
    </item>
                    <item>
    <title><![CDATA[The binary splitting with the R `gmp` package - Application to the Gauss hypergeometric function]]></title>
    <link><![CDATA[https://stla.overblog.com/the-binary-splitting-with-the-r-gmp-package-application-to-gauss-hypergeometric-function]]></link>
    <guid>https://stla.overblog.com/the-binary-splitting-with-the-r-gmp-package-application-to-gauss-hypergeometric-function</guid>
    <pubDate>Fri, 30 Nov 2012 19:45:17 +0100</pubDate>
    <description><![CDATA[In this article you will firstly see how to get rational numbers arbitrary close to \( \pi \) by performing the binary splitting algorithm with the gmp package. The binary splitting algorithm fastly calculates the partial sums of a rational hypergeometric... ]]></description>
        <dc:creator><![CDATA[Stéphane Laurent]]></dc:creator>
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