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<p><h1 id="page-title" style="margin: 0px 0px 0.5em;padding: 0px;vertical-align: baseline;color: rgb(51, 51, 51);"><font face="Helvetica Neue"><span style="font-size: 14px;font-weight: normal;">Le Labex EFL vous invite au séminaire du Prof. Shravan Vasishth:</span></font></h1><div><span style="color: rgb(51, 51, 51);font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif;font-size: 2.3em;">Shravan Vasisht, professeur invité du Labex en octobre 2014</span></div><div class="tab-container" style="margin: 0px 0px 15px;padding: 0px;font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif;vertical-align: baseline;color: rgb(51, 51, 51);"></div><div id="content" style="margin: 0px;padding: 0px;font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif;vertical-align: baseline;color: rgb(51, 51, 51);"><div class="region region region-content" style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;"><div id="block-system-main" class="block block-system" style="margin: 0px 0px 15px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;"><div class="content" style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;"><div id="node-269" class="node node-page" about="/?q=fr/node/269" typeof="foaf:Document" style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;"><div class="node-container" style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;"><div class="nodecontent" style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;"><div class="field field-name-body field-type-text-with-summary field-label-hidden" style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;"><div class="field-items" style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;"><div class="field-item even" property="content:encoded" style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;"><p style="margin: 0px 0px 13px;padding: 0px;font-style: inherit;font-family: 'Lucida Grande';vertical-align: baseline;"><span style="margin: 0px;padding: 0px;font-style: inherit;font-size: 11px;font-family: inherit;vertical-align: baseline;">cv of Shravan Vasisht: <a href="http://www.ling.uni-potsdam.de/~vasishth/" style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;color: rgb(21, 106, 163);">here</a></span></p><p style="margin: 0px 0px 13px;padding: 0px;font-style: inherit;font-family: 'Lucida Grande';vertical-align: baseline;"><b>Advanced statistical analysis for empirical/experimental linguistics </b></p><p style="margin: 0px 0px 13px;padding: 0px;font-style: inherit;font-family: Helvetica;vertical-align: baseline;">Linear mixed models are the tool of choice in psycholinguistics. With the arrival of probabilistic progamming languages like JAGS and Stan, it has become possible to fit fairly complex linear mixed models in a Bayesian setting. My goal in these four lectures will be to provide a practical introduction Bayesian linear mixed models; the focus will be on the analysis of psycholinguistic data. I will cover the following topics:</p><div style="margin: 0px;padding: 0px;font-style: inherit;font-family: Helvetica;vertical-align: baseline;"><span style="margin: 0px;padding: 0px;font-style: inherit;font-family: 'Lucida Grande';vertical-align: baseline;color: rgb(128, 27, 128);">►</span><span style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;color: rgb(128, 27, 128);"><b> Lecture 1 </b> </span>Review of Linear Mixed Models, and introduction to Bayes' Theorem - <i>October 7th, 2014</i></div><div style="margin: 0px;padding: 0px;font-style: inherit;font-family: Helvetica;vertical-align: baseline;"><span style="margin: 0px;padding: 0px;font-style: inherit;font-family: 'Lucida Grande';vertical-align: baseline;color: rgb(128, 27, 128);">►</span><span style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;color: rgb(128, 27, 128);"><b> Lecture 2</b> </span> A short review of Bayesian modeling - <i>October 9th, 2014</i></div><div style="margin: 0px;padding: 0px;font-style: inherit;font-family: Helvetica;vertical-align: baseline;"><span style="margin: 0px;padding: 0px;font-style: inherit;font-family: 'Lucida Grande';vertical-align: baseline;color: rgb(128, 27, 128);">►</span><span style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;color: rgb(128, 27, 128);"><b> Lecture 4 </b></span>Lecture 4 : Fitting and evaluating Bayesian LMMs in Stan - <i>October 14th, 2014</i></div><div style="margin: 0px;padding: 0px;font-style: inherit;font-family: Helvetica;vertical-align: baseline;"><span style="margin: 0px;padding: 0px;font-style: inherit;font-family: 'Lucida Grande';vertical-align: baseline;color: rgb(128, 27, 128);">►</span><span style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;color: rgb(128, 27, 128);"><b> Lecture 3 </b></span>Some practical issues and real-life examples - <i>October 16th, 2014</i></div><p style="margin: 0px;padding: 0px;font-style: inherit;font-family: Helvetica;vertical-align: baseline;min-height: 14px;"> <br class="webkit-block-placeholder"></p><div style="margin: 0px;padding: 0px;font-style: inherit;font-family: Helvetica;vertical-align: baseline;min-height: 14px;"><b>Code, data, and slides will be released as the course progresses </b></div><p style="margin: 0px;padding: 0px;font-style: inherit;font-family: Helvetica;vertical-align: baseline;min-height: 14px;"> <br class="webkit-block-placeholder"></p><p style="margin: 0px 0px 13px;padding: 0px;font-style: inherit;font-family: 'Lucida Grande';vertical-align: baseline;"><span style="margin: 0px;padding: 0px;font-style: inherit;font-family: inherit;vertical-align: baseline;color: rgb(128, 0, 128);"><strong>Rendez vous à l'Université Paris Diderot</strong></span> - salle 268 - bâtiment ODG</p></div></div></div></div></div></div></div></div></div></div></p>
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