<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body dir="auto"><br><br><div dir="ltr">Sent from Hedibert's iPhone</div><div dir="ltr"><br>Begin forwarded message:<br><br></div><blockquote type="cite"><div dir="ltr"><b>From:</b> MARIA CONCEPCION AUSIN OLIVERA <causin@est-econ.uc3m.es><br><b>Date:</b> March 9, 2020 at 7:18:37 AM GMT-3<br><b>To:</b> "esobe@wu.ac.at" <esobe@wu.ac.at><br><b>Subject:</b> <b>[ESOBE] Hedibert Lopes' course and reminder ESOBE 2020</b><br><br></div></blockquote><blockquote type="cite"><div dir="ltr"><meta http-equiv="Content-Type" content="text/html; charset=utf-8"><div dir="ltr"><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">Dear colleagues,<br><br>It is our pleasure to inform you that the Flores de Lemus Institute is organizing a one-day course given Prof. Hedibert Lopes on Modern Bayesian Econometrics on September 2nd, just before the 11th ESOBE conference in Madrid. This is a free course aimed at young researchers, who have registered for the main conference and have priority, but open to everyone while space is available. Interested attendants should bring their own laptops. More detailed information can be found at <a href="http://www.esobe2020.org">www.esobe2020.org</a>.<br><br>This is also a small reminder that the deadline for submitting papers for the 11th ESOBE 2020 is March 31st. You may submit your paper at <a href="http://www.esobe2020.org/paper-submission/">http://www.esobe2020.org/paper-submission/</a><br><br>The Organizing Committee<br>Department of Statistics<br>Universidad Carlos III de Madrid<br clear="all"></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><pre cols="72"><font size="2">______________________________________________________
M. Concepcion Ausin Olivera
Department of Statistics
Universidad Carlos III de Madrid
28903 Getafe (Madrid), Spain
<a href="http://www.est.uc3m.es/causin" target="_blank">http://www.est.uc3m.es/causin</a>
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