<div dir="ltr"><br clear="all"><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div style="color:rgb(34,34,34)"><br></div><div style="color:rgb(34,34,34)"><div>=========================</div><div>Dani Gamerman</div><div>Emeritus Professor </div><div>Statistics UFRJ</div><div><a href="http://www.dme.ufrj.br/dani" style="color:rgb(17,85,204)" target="_blank">www.dme.ufrj.br/dani</a></div><div><a href="http://www.statpop.com.br/" style="color:rgb(17,85,204)" target="_blank">www.statpop.com.br</a></div><div>=========================</div></div></div></div></div><br><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">---------- Forwarded message ---------<br>De: <strong class="gmail_sendername" dir="auto">Mathematics Editorial Office</strong> <span dir="auto"><<a href="mailto:mathematics@mdpi.com">mathematics@mdpi.com</a>></span><br>Date: qui., 3 de out. de 2024 às 08:29<br>Subject: MDPI—Mathematics Webinar | Bayesian Networks and Their Real-World Applications for Decision Making, 10 October 2024<br>To: <<a href="mailto:dani@im.ufrj.br">dani@im.ufrj.br</a>><br></div><br><br><div class="msg1325195353233146839"><u></u>
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<p>Dear Colleagues,</p>
<p style="text-align:justify">MDPI would like to invite all experts recognized in their fields to attend a webinar organized by <em>Mathematics </em>(ISSN 2227-7390)<em>,</em> entitled “Bayesian Networks and Their Real-World Applications for Decision Making”. The aim of the webinar is to introduce Bayesian networks, a versatile probabilistic model that integrates statistical methods, data mining, and machine learning for complex data analyses. The session will highlight their ability to simplify complex relationships and address uncertainty, showcasing various real-world applications across different fields. </p>
<p><strong>Date: 10 October 2024</strong><br><strong>Time: </strong>11:00–13:00 (CEST)</p>
<p><strong>Register in advance for this workshop </strong><a href="https://us02web.zoom.us/webinar/register/6817236585290/WN_MNpH4ddmREq49AjLmjfbYA" target="_blank"><strong>HERE</strong></a><strong>.</strong></p>
<p style="text-align:justify">After registering, you will receive a confirmation email containing information on how to join the workshop. The number of participants able to join this workshop is limited; however, a recording of this event will be made available online shortly afterwards. <strong>Registrations with academic institutional email addresses will be prioritized.</strong></p>
<p><strong>Chair:</strong></p>
<p><strong>Prof. Dr. Marta Pittavino<br></strong>Ca' Foscari University of Venice, Italy</p>
<p><strong>Speakers:</strong></p>
<p><strong>Dr. Marco Scutari</strong></p>
<p>Dalle Molle Institute for Artificial Intelligence, Switzerland<br>Presentation Theme: Causal Modelling in Space and Time</p>
<p><strong>Dr. Cinzia Tarantino</strong></p>
<p style="text-align:justify">University of Geneva, Switzerland<br> Presentation Theme: Data-Driven Risk Analysis of Nonlinear Factor Interactions in Road Safety Using Bayesian Networks</p>
<p style="text-align:justify">We are pleased to provide this excellent opportunity to all outstanding researchers in their fields to propose and develop new approaches, exchange perspectives, and encourage new lines of research.</p>
<p style="text-align:justify">To find out more about the speakers and the program, please visit <a href="https://sciforum.net/event/Mathematics-11" target="_blank">https://sciforum.net/event/Mathematics-11</a>. We hope that you can join us for this event.</p>
<p>Best wishes,</p>
<p><em>Mathematics</em> Webinar Secretariat</p> <p></p>
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