<div dir="ltr"><div><div>Caros redistas,</div><div><br></div><div>Marcando o retorno do <span><span><span><span>Ciclo</span></span></span></span> <span>de</span> <span><span><span><span>Palestras</span></span></span></span> do
Programa <span>de</span> Pós-Graduação em Estatística do IM-UFRJ, <b>na próxima 4a
feira, 19/08/20, às 15:30</b>, teremos a <span><span><span><span>palestra</span></span></span></span> do professora:</div><div><br></div><div>Thais Carvalho Valadares Rodrigues (UNB)<br></div><div><b><br></b></div><div style="font-family:Arial,Helvetica,sans-serif;font-size:small;background-color:rgb(255,255,255)">
<b>Título: </b>Quantile pyramids for regression<br><div><br></div></div><div style="font-family:Arial,Helvetica,sans-serif;font-size:small;background-color:rgb(255,255,255)"><div style="font-family:Arial,Helvetica,sans-serif;font-size:small;background-color:rgb(255,255,255)"><div><b>Resumo: </b>Quantile regression models provide a wide picture of the conditional
distributions of the response variable by capturing the effect of the
covariates at different quantile levels. In most applications, the
parametric form of those conditional distributions is unknown and varies
across the covariate space, so fitting the given quantile levels
simultaneously without relying on parametric assumptions is crucial. In
this talk, I review the main concepts of quantile regression and present
some recent challenges in the area. As for my research interest, I
introduce a Bayesian model for simultaneous quantile regression using
random probability measures known as quantile pyramids. Simulation
studies and an application with real data are presented to explore the
proposed method and its competitive approaches.</div><div><br></div><div>A palestra ocorrerá remotamente, via Google Meets. Segue o link para o acesso a sala: <a href="https://meet.google.com/ruv-ruxx-ehg">https://meet.google.com/ruv-ruxx-ehg</a> . A sala será aberta sempre 10 minutos antes do início de cada sessão.<br></div>
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<div style="font-family:Arial,Helvetica,sans-serif;font-size:small;background-color:rgb(255,255,255)">
</div></div><p style="margin-bottom:0.35cm;line-height:14.95px;direction:ltr" align="justify"></p><div><div dir="auto">Acompanhem a atualização da programação do nosso <span><span><span><span>ciclo</span></span></span></span> <span>de</span> <span><span><span><span>palestras</span></span></span></span> no sitio <a href="http://www.dme.ufrj.br/" rel="noreferrer noreferrer noreferrer" target="_blank">www.dme.ufrj.br</a> opção Atividades subopção <span><span><span><span>Ciclo</span></span></span></span> <span>de</span> <span><span><span><span>Palestras</span></span></span></span>.</div><div dir="auto"><br></div></div></div>Abraços e saúde para todos,<font color="#888888"><br></font>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><i><span style="font-family:arial,sans-serif">Kelly C. M. Gonçalves</span></i></div><div><i><span style="font-family:arial,sans-serif">Professora Adjunta III</span></i></div><div><i><span style="font-family:arial,sans-serif">Departamento de Métodos Estatísticos</span></i></div><div><i><span style="font-family:arial,sans-serif">Universidade Federal do Rio de Janeiro</span></i><br></div></div></div></div>