<div dir="ltr"><br><br><div class="gmail_quote gmail_quote_container"><div dir="ltr" class="gmail_attr"></div><div class="msg3687338337523502633"><div dir="ltr"><div id="m_-7260045082906691102divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> Insper - Seminários Acadêmicos <<a href="mailto:seminariosacademicos@insper.edu.br" target="_blank">seminariosacademicos@insper.edu.br</a>><br>
<b>Sent:</b> Thursday, June 5, 2025 10:34<br>
<b>To:</b> Insper - Seminários Acadêmicos <<a href="mailto:seminariosacademicos@insper.edu.br" target="_blank">seminariosacademicos@insper.edu.br</a>><br>
<b>Subject:</b> Errata: Academic Seminar: Data Science with Ioanna Manolopoulou (UCL) 05/06</font>
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<p><b><span lang="EN-US" style="font-family:"Verdana",sans-serif"> </span></b></p>
<p><b><span lang="EN-US" style="font-family:"Verdana",sans-serif">Title:</span></b><span lang="EN-US" style="font-family:"Verdana",sans-serif"> Combining confounded and unconfounded data in heterogeneous treatment effect modelling</span></p>
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<p><b><span style="font-size:12.0pt;font-family:"Verdana",sans-serif">Palestrante:</span></b><span style="font-size:12.0pt;font-family:"Verdana",sans-serif">
<a href="https://ioannamanolopoulou.github.io/" target="_blank">Ioanna Manolopoulou</a></span></p>
<p><b><span style="font-size:12.0pt;font-family:"Verdana",sans-serif">Universidade:</span></b><span style="font-size:12.0pt;font-family:"Verdana",sans-serif">
<a href="https://www.ucl.ac.uk/" target="_blank">UCL</a></span></p>
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<p style="line-height:115%"><b><span style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif"> </span></b></p>
<p style="text-align:justify;line-height:115%"><b><span lang="EN-US" style="font-family:"Verdana",sans-serif">Abstract:</span></b><span lang="EN-US" style="font-family:"Verdana",sans-serif"> Building statistical models using non-randomly
sampled data is a well-known challenge in statistics, and is especially challenging when any part of the statistical model is not fully identifiable. In causal inference, and in particular in the estimation of heterogeneous treatment effects, this arises when
observational data are used which may be affected by unobserved confounding. One approach to correct for such confounding is to combine data with and without unobserved confounding. However, when the unconfounded data are not representative of the whole population,
the effect of de-confounding will be poor for subsets of the population that fall outside the range of these data. Depending on the structure of the model and the nature of the prior distributions used within a Bayesian model, this will be addressed by borrowing
information from other parts of the space. In this work, we highlight the importance of building models that can account for uncertainty due to unobserved confounding in regions where no de-confounding is possible. To this end, we embed a combination of data
with and without unobserved confounding into Bayesian Causal Forests (BCF), and make use of a data-dependent tempered likelihood to harness as much reliable information from the unconfounded data as possible, without leading to over-confidence in regions of
poor identifiability. We implement our methods on a set of simulated and real data examples.</span><span lang="EN-US"></span></p>
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<p style="line-height:115%"><span style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif"><img border="0" width="30" height="30" id="m_-7260045082906691102x_Imagem_x0020_8" alt="Ã cone Data" style="width:.3125in;height:.3125in" src="cid:ii_1974056369a7745b44"></span><span style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif"></span></p>
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<p style="line-height:115%"><span style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif">June 5, 2025</span></p>
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<p style="line-height:115%"><span style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif">12pm, São Paulo, Brasil (UTC/GMT -03:00)</span></p>
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<p style="line-height:115%"><span style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif"><img border="0" width="30" height="30" id="m_-7260045082906691102x_Imagem_x0020_6" alt="Ã cone Data" style="width:.3125in;height:.3125in" src="cid:ii_1974056369a9374b66"></span><span style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif"></span></p>
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<p style="line-height:115%"><span lang="EN-US" style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif"> </span></p>
<p style="line-height:115%"><span lang="EN-US" style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif">Via Zoom</span></p>
<p style="line-height:115%"><span lang="EN-US" style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif">The seminar will be streamed at the
</span><span style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif"><a href="https://zoom.us/j/95781336030" target="_blank"><span lang="EN-US">link</span></a> </span></p><p style="line-height:115%"><span style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif"><a href="https://zoom.us/j/95781336030">https://zoom.us/j/95781336030</a></span><span lang="EN-US" style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif"></span></p>
<p style="line-height:115%"><span style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif;color:#232333;letter-spacing:.3pt;background:white">access password :
</span><span style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif;color:#232333;letter-spacing:.3pt">290524</span><span lang="EN-US" style="font-size:12.0pt;line-height:115%;font-family:"Verdana",sans-serif"></span></p>
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