https://t2bwiki.iihe.ac.be/index.php?action=history&feed=atom&title=Introduction 2026-05-16T08:19:33Z Revision history for this page on the wiki MediaWiki 1.45.3 https://t2bwiki.iihe.ac.be/index.php?title=Introduction&diff=156&oldid=prev 2015-08-26T12:28:43Z

<p>Created page with &quot; == Special seminar &quot;Advanced statistics for discoveries&quot; == === Introduction === 9h - Welcome (Pascal, Jorgen) &lt;br&gt; 9h15 - 10h30 - Reminder - black board (Jorgen) &lt;br...&quot;</p> <p><b>New page</b></p><div><br /> == Special seminar &quot;Advanced statistics for discoveries&quot; ==<br /> <br /> === Introduction === <br /> <br /> 9h - Welcome (Pascal, Jorgen) &lt;br&gt;<br /> 9h15 - 10h30 - Reminder - black board (Jorgen) &lt;br&gt;<br /> 10h45 - 12h30 - Reminder - black board (Jorgen) &lt;br&gt;<br /> ** Lunch break ** &lt;br&gt;<br /> 14h - 16h - RooStats introduction (Laurent, Alexandre, Florian, Thomas - with the help of Olivier, Abdel and Shkelzen) &lt;br&gt;<br /> <br /> [http://w3.iihe.ac.be/~pvanlaer/stats/gaston-wilquet-PhD-lecture/PhD-training_statistics.pdf additional material - IIHE PhD training lecture on statistics (G. Wilquet)]<br /> <br /> === RooStats example ===<br /> The afternoon session is aimed to introduce the very basics of the RooFit framework to the participants in order to apply them during the advanced lectures. &lt;br&gt;<br /> We plan to cover the following topics : <br /> **RooFit Variables definition. <br /> **Build an arbitrary PDF.<br /> **Generate events according to a PDF. <br /> **Perform a binned/unbinned fit of data using the Maximum Likelihood Method. <br /> **Quantify goodness of fit for binned and unbinned fits. <br /> <br /> The material for this Tutorial can be found here : &lt;br&gt;<br /> https://lathomas.web.cern.ch/lathomas/Public/ &lt;br&gt;<br /> In case of slow connexion with CERN try here: &lt;br&gt;<br /> http://w3.iihe.ac.be/~pvanlaer/roostats/<br /> <br /> <br /> <br /> <br /> {{TracNotice|{{PAGENAME}}}}</div>

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