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<h1 style="margin:0cm;line-height:24.4pt"><span style="font-size:19.5pt;font-family:"Helvetica",sans-serif;color:#202020">Bayesian Hypothesis Testing with JASP and Bayesian Cognitive Modeling Workshops in Amsterdam<o:p></o:p></span></h1>
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<p class="MsoNormal" style="line-height:18.0pt"><span style="font-family:"Helvetica",sans-serif;color:#202020">Did you enjoy one of our previous workshops, and are you interested in attending another one? Do you have a friend or colleague who might be interested
in attending? If so, let them know about our 2024 edition of the workshops. Registration is still open! <br>
<br>
<strong><span style="font-family:"Helvetica",sans-serif">Theory and Practice of Bayesian Hypothesis Testing: A Hybrid JASP Workshop</span></strong><br>
July 15–16, 2024<br>
<br>
The main purpose of this workshop is to familiarize participants with key Bayesian concepts in hypothesis testing. Concrete examples illustrate how to compute, report, and interpret Bayesian hypothesis tests for popular statistical models such as correlation,
regression, t-test, ANOVA, and contingency tables. To facilitate the learning process we use JASP, a program whose attractive graphical user interface allows us to focus on core Bayesian concepts and principles. This workshop is relevant to psychologists,
economists, biologists, and generally any student or researcher who wishes to draw conclusions from empirical data. No background in Bayesian statistics is required.<br>
<br>
For details, please visit the workshop website:<br>
<a href="https://us20.mailchimp.com/mctx/clicks?url=https%3A%2F%2Fjasp-stats.org%2Fworkshop%2F&xid=6a784f22bd&uid=118093274&iid=83bfaa95f2&pool=cts&v=2&c=1716803196&h=c96388db0403200342409e618d75a0e55ab6ec25e71242ea2725249184977e0d" target="_blank"><span style="color:#007C89">https://jasp-stats.org/workshop/</span></a><br>
<br>
<br>
<strong><span style="font-family:"Helvetica",sans-serif">Annual JAGS Workshop: Bayesian Modeling for Cognitive Science</span></strong><br>
July 8–12, 2024<br>
<br>
In this workshop, plenary lectures provide the theoretical background of Bayesian inference, and practical computer exercises teach you how to apply the popular JAGS software to a wide range of different statistical models. After completing this workshop, you
will have gained not only a new understanding of statistics, but also the technical skills to implement models that are appropriate for the substantive hypotheses that you seek to test. This workshop is meant for researchers who want to learn how to apply
Bayesian inference in practice. As the workshop covers a variety of topics within cognitive science and exercises of varying difficulty, the course material is appropriate for researchers with a wide range of prior knowledge and interests. Although some basic
knowledge of Bayesian inference is an advantage, this is not a prerequisite. Some basic knowledge of either R or Matlab is also an advantage.<br>
<br>
For details, please visit the workshop website:<br>
<a href="https://us20.mailchimp.com/mctx/clicks?url=https%3A%2F%2Fjasp-stats.org%2Fjags-workshop%2F&xid=6a784f22bd&uid=118093274&iid=83bfaa95f2&pool=cts&v=2&c=1716803196&h=eecefcbb2301e345bdd0ecf07451635979d8153e99ab905f4b3e11ccce13554c" target="_blank"><span style="color:#007C89">https://jasp-stats.org/jags-workshop/</span></a><br>
<br>
Best wishes,<br>
Workshop Organizing Team<o:p></o:p></span></p>
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