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teaching_agrocampus.html
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<h1 class="title toc-ignore">Teaching materials</h1>
</div>
<div id="démarche-statistique---partie-2" class="section level1">
<h1>Démarche statistique - partie 2</h1>
<p>Ce cours constitue la seconde partie du module de démarche
statistique. Les supports des quatre cours sont</p>
<ul>
<li><p><a
href="http://marieetienne.github.io/demarche_stat_partie2/_presentation/regression.html">Régression
multiple</a></p></li>
<li><p><a
href="http://marieetienne.github.io/demarche_stat_partie2/_presentation/anova2.html">Analyse
de la variance à deux facteurs</a></p></li>
<li><p><a
href="http://marieetienne.github.io/demarche_stat_partie2/_presentation/acp.html">Analyse
en compostaes principales</a></p></li>
<li><p><a
href="http://marieetienne.github.io/demarche_stat_partie2/_presentation/plan_exp.html">Plan
d’expérience</a></p></li>
</ul>
<p>Les TD correspondants sont les TD 11 à 17 disponibles sur la page des
<a href="https://agrocampusds.github.io/demarche_statistique/">énonces
de TD</a></p>
</div>
<div id="m2-datascience" class="section level1">
<h1>M2 Datascience</h1>
<div id="outils-pour-la-science-reproductible" class="section level2">
<h2>Outils pour la science reproductible</h2>
<p><a href="https://marieetienne.github.io/reproductibilite/">Ce
cours</a> propose une introduction à l’utilisation du système de version
<a href="https://git-scm.com/">git</a> dans un objectif de produire de
la science reproductible.</p>
</div>
<div id="modélisation-bayésienne-pour-lécologie" class="section level2">
<h2>Modélisation bayésienne pour l’écologie</h2>
<p>Cours de statistique pour les étudiants de la spécialisation Science
des données et MODE.</p>
<p>Les slides sont disponibles <a
href="https://marieetienne.github.io/bayesian_and_ecology/_presentation/#1">ici</a></p>
<p>Rappel sur quelques lois de probabilités classiques et utiles dans
les approches bayésiennes <a href="slides/LoiProbas.pdf">ici</a></p>
<p>Script du TD comptage <a href="slides/TD_Pup2.pdf">ici</a></p>
</div>
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<div id="cours-ed-egaal" class="section level1">
<h1>Cours ED EGAAL</h1>
<div id="modelisation-statistique" class="section level2">
<h2>Modelisation statistique</h2>
<p>Formation dispensée dans le cadre de l’école doctorale EGAAL. Cette
formation est destinée à des étudiants en thèse dans le domaine des
sciences du vivant et qui souhaiterait recevoir une formation
complémentaire en modélisation statistique. La formation est organisée
en 2 séquences d’une semaine chacune et il est important de s’engager à
participer à l’intégralité de ces deux semaines.</p>
<ul>
<li><a href="slides/mod_stat_jour1.pdf">Le cours d’introduction à
R</a></li>
<li><a href="slides/mod_stat_jour2.pdf">Modèle linéaire</a></li>
<li><a href="slides/mod_stat_jour4.pdf">Modèle linéaire
généralisé</a></li>
<li><a href="slides/mod_stat_jour5.pdf">Modèle mixte</a></li>
<li>Des <a
href="https://marieetienne.github.io/ModStat/">exemples</a></li>
</ul>
</div>
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