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<div id="m_7744388654531911772divRplyFwdMsg" 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> Friday, March 28, 2025 18:23<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> Academic Seminar: Data Science with Gisele Maia (Universidade Federal de Itajubá)</font>
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<p><a href="https://e.allin.insper.edu.br/bendar/?atmca=10094556&atmme=339&atmte=1&atmso=ck&utm_content=277659976&atmem=cm9kcmlnb2ZzM0BpbnNwZXIuZWR1LmJy" target="_blank">Insper</a></p>
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<p><b><span style="font-size:11.0pt;font-family:"Verdana",sans-serif">Title:</span></b><span style="font-size:11.0pt;font-family:"Verdana",sans-serif"> Bootstrap paramétrico condicional em modelos GLARMA</span></p>
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<p><b><span style="font-family:"Verdana",sans-serif">Palestrante:</span></b><span style="font-family:"Verdana",sans-serif">
<a href="https://scholar.google.com/citations?user=5r86TrgAAAAJ&hl=pt-BR" target="_blank">Gisele Maia</a></span></p>
<p><b><span style="font-family:"Verdana",sans-serif">Universidade:</span></b><span style="font-family:"Verdana",sans-serif">
<a href="https://unifei.edu.br/" target="_blank">Universidade Federal de Itajubá</a></span></p>
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<p style="text-align:justify;line-height:115%"><b><span style="font-size:11.0pt;line-height:115%;font-family:"Verdana",sans-serif">Abstract:</span></b><span style="font-size:11.0pt;line-height:115%;font-family:"Verdana",sans-serif"> Neste
seminário, discutiremos os desafios estatísticos encontrados quando resultados assintóticos não são válidos ou quando as distribuições dos dados não são conhecidas. Como alternativa, exploramos o bootstrap paramétrico condicional, uma técnica eficaz para realizar
inferência sobre os parâmetros de um modelo. Nosso foco será sua aplicação ao modelo Generalized Linear Autoregressive Moving Average (GLARMA), visando a correção de vícios, construção de intervalos de confiança e testes de hipóteses para os parâmetros do
modelo GLARMA. Apresentaremos estudos de simulação que avaliam o desempenho da metodologia em amostras finitas e um exemplo de uma aplicação a dados reais é apresentada, ilustrando o potencial da abordagem proposta em uma situação real.</span><span style="font-size:11.0pt;line-height:115%"></span></p>
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<p style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><img border="0" width="30" height="30" id="m_7744388654531911772x_Imagem_x0020_8" alt="Ã cone Data" style="width:.3125in;height:.3125in" src="cid:ii_195fb6287d77745b44"></span></p>
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<p style="line-height:115%"><span style="font-family:"Verdana",sans-serif">April 03, 2025</span></p>
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<p style="line-height:115%"><span style="font-family:"Verdana",sans-serif"><img border="0" width="30" height="31" id="m_7744388654531911772x_Imagem_x0020_7" alt="Ã cone Hora" style="width:.3125in;height:.3263in" src="cid:ii_195fb6287d7855d355"></span></p>
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<p style="line-height:115%"><span style="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-family:"Verdana",sans-serif"><img border="0" width="30" height="30" id="m_7744388654531911772x_Imagem_x0020_6" alt="Ã cone Data" style="width:.3125in;height:.3125in" src="cid:ii_195fb6287d79374b66"></span></p>
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<p style="line-height:115%"><span lang="EN-US" style="font-family:"Verdana",sans-serif"> </span></p>
<p style="line-height:115%"><span lang="EN-US" style="font-family:"Verdana",sans-serif">Mario Haberfeld room, 2nd floor - Claudio Haddad Building</span></p>
<p 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" target="_blank"><span lang="EN-US">link</span></a></span><span lang="EN-US" style="font-family:"Verdana",sans-serif"></span></p>
<p style="line-height:115%"><span style="font-family:"Verdana",sans-serif;color:#232333;letter-spacing:.3pt;background:white">access password :
</span><span style="font-family:"Verdana",sans-serif;color:#232333;letter-spacing:.3pt">290524</span><span lang="EN-US" style="font-family:"Verdana",sans-serif"></span></p>
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<p>Rua Quatá, 300 - Vila Olímpia - São Paulo/SP - Brasil - CEP: 04546-042 | Tel: (11) 4504-2400</p>
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