<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body dir="auto"><b>From:</b> Insper - Seminários Acadêmicos <seminariosacademicos@insper.edu.br><br><blockquote type="cite"><div dir="ltr"><blockquote type="cite"><div dir="ltr">
<b>Date:</b> July 31, 2024 at 09:51:16 GMT-3<br>
<b>To:</b> Insper - Seminários Acadêmicos <seminariosacademicos@insper.edu.br><br>
<b>Subject:</b> <b>Academic Seminar of Data Science with Zaida Cornejo - Puc/Peru</b><br>
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<p class="xmsonormal" align="center" style="text-align:center"><b><span lang="EN-US" style="font-size:11.0pt;font-family:"Verdana",sans-serif;mso-fareast-language:EN-US">Title:</span></b><span lang="EN-US" style="font-size:11.0pt;font-family:"Verdana",sans-serif;mso-fareast-language:EN-US"> </span><span lang="EN-US" style="font-size:11.0pt;font-family:"Verdana",sans-serif">
Fast Bayesian inference of block Nearest Neighbor Gaussian models for large data</span><span lang="EN-US" style="font-size:11.0pt;font-family:"Verdana",sans-serif;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-family:"Verdana",sans-serif">Palestrante:</span></b><span style="font-family:"Verdana",sans-serif">
</span><span lang="EN-US" style="font-family:"Verdana",sans-serif"><a href="https://www.pucp.edu.pe/profesor/zaida-quiroz-cornejo/"><span lang="PT-BR">Zaida Jesus Quiroz Cornejo</span></a></span><span style="font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-family:"Verdana",sans-serif">Universidade:
</span></b><span style="font-family:"Verdana",sans-serif"> <a href="https://www.pucp.edu.pe/">PUC-Peru</a><o:p></o:p></span></p>
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<p class="xmsonormal" style="text-align:justify;line-height:115%"><b><span lang="EN-US" style="font-size:11.0pt;line-height:115%;font-family:"Verdana",sans-serif;mso-fareast-language:EN-US">Abstract:</span></b><span lang="EN-US" style="font-size:11.0pt;line-height:115%;font-family:"Verdana",sans-serif;mso-fareast-language:EN-US"> </span><span lang="EN-US" style="font-size:11.0pt;line-height:115%;font-family:"Verdana",sans-serif">This
paper presents the development of a spatial block-Nearest Neighbor Gaussian process (blockNNGP) for location- referenced large spatial data. The key idea behind this approach is to divide the spatial domain into several blocks which are dependent under some
constraints. The cross-blocks capture the large-scale spatial dependence, while each block captures the small-scale spatial dependence. The resulting blockNNGP enjoys Markov properties reflected on its sparse precision matrix. It is embedded as a prior within
the class of latent Gaussian models, thus fast Bayesian inference is obtained using the integrated nested Laplace approximation. The performance of the blockNNGP is illustrated on simulated examples, a comparison of our approach with other methods for analyzing
large spatial data and applications with Gaussian and non-Gaussian real data. This is a joint work with Marcos O. Prates (UFMG), Dipak K. Dey (UCONN) and Håvard Rue (KAUST).</span><span lang="EN-US" style="font-size:11.0pt;line-height:115%;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<p class="MsoNormal" style="line-height:115%"><span style="font-family:"Verdana",sans-serif">August 1, 2024<o:p></o:p></span></p>
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<p class="MsoNormal" style="line-height:115%"><span style="font-family:"Verdana",sans-serif">12pm, São Paulo, Brasil (UTC/GMT -03:00)<o:p></o:p></span></p>
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<p class="MsoNormal" style="line-height:115%"><span lang="EN-US" style="font-family:"Verdana",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal" style="line-height:115%"><span lang="EN-US" style="font-family:"Verdana",sans-serif">Paulo Renato Souza room, 2<sup>nd</sup> floor - Building 1<o:p></o:p></span></p>
<p class="MsoNormal" style="line-height:115%"><span lang="EN-US" style="font-family:"Verdana",sans-serif">The seminar will be streamed at the
</span><span style="font-family:"Verdana",sans-serif"><a href="https://zoom.us/j/95781336030"><span lang="EN-US">link</span></a></span><span lang="EN-US" style="font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="line-height:115%"><span style="font-family:"Verdana",sans-serif;color:#232333;letter-spacing:.3pt;background:white;mso-fareast-language:PT-BR">access password :
</span><span style="font-family:"Verdana",sans-serif;color:#232333;letter-spacing:.3pt;mso-fareast-language:PT-BR">290524</span><span lang="EN-US" style="font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
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