<div dir="ltr"><br><div class="gmail_quote"><div class="gmail_attr">Caros </div><div class="gmail_attr"><br></div><div class="gmail_attr">Passando para lembrar do seminário de hoje</div><div class="gmail_attr"><br></div><div class="gmail_attr"><br></div><br><div dir="ltr">
        
        

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<font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt">Dando
continuação à colaboração entre as Ômega talks, da
UFPR, e a RBras, temos o prazer de anunciar a palestra da <b>Rafael
Izbicki</b> , <b>no</b><b> dia </b><b>31</b><b> de </b><b>maio</b><b>
de 202</b><b>3</b><b>, às 19h00</b>, com o título "<b>Rethinking
Hypothesis Tests</b>" resumo e biografia abaixo.</font></font></font></p>
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<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal"><font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt">O
link para transmissão no youtube da RBRAS é:
</font></font></font></span><span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal"><font color="#1155cc"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt"><a href="https://www.youtube.com/watch?v=RWEZnxYjpqo" target="_blank">https://www.youtube.com/watch?v=RWEZnxYjpqo</a></font></font></font></span><span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal"><font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt">.</font></font></font></span></p>
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<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal"><font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt"><b>R</b></font></font></font></span><span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal"><font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt"><b>esumo:</b></font></font></font></span><span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal"><font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt">
 Null Hypothesis Significance Tests (NHST) have been a popular
statistical tool across various scientific disciplines since the
1920s. However, the exclusive reliance on a p-value threshold of 0.05
has recently come under criticism; in particular it is argued to have
contributed significantly to the reproducibility crisis. In this
talk, we revisit some of the main issues associated with NHST and
propose an alternative approach that is both easy to implement and
can address many of these concerns. Our proposed approach builds on
equivalence tests and three-way decision procedures, which offer
several advantages over the traditional NHST. We demonstrate the
efficacy of our approach on real-world examples and show that it has
many desirable properties</font></font></font></span><br>
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<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal"><font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt"><b>Breve
biografia:</b></font></font></font></span><span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal"><font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt">
</font></font></font></span><span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal"><font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt">Bacharel
e Mestre em Estatística pela Universidade de São Paulo,  PhD em
Estatística pela Carnegie Mellon University (2014). Atualmente é
Professor Adjunto da UFSCar- Universidade Federal de São Carlos.
</font></font></font></span><span style="display:inline-block;border:none;padding:0cm"><font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt"><span style="background:transparent"><span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal">Bolsista
de Produtividade em Pesquisa do CNPq - Nível 2, </span></span></font></font></font></span><font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt"><span style="background:transparent"><span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal">t</span></span></font></font></font><span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal"><font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt">em
experiência na área de Probabilidade e Estatística, com ênfase em
Machine Learning (aprendizado de máquina), Bioestatística,
Astroestatística, Fundamentos da Estatística, Inferência
Bayesiana, Inferência Não Paramétrica e Inferência em Dados com
Alta Dimensionalidade. Mais informações:
<a href="http://www.rizbicki.ufscar.br" target="_blank">http://www.rizbicki.ufscar.br</a></font></font></font></span><span style="display:inline-block;border:none;padding:0cm"><font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt"><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal"> </span></span></font></font></font></span></p>
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<font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt">Estão
todos convidados!</font></font></font></p>
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<font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt">Abraços</font></font></font></p>
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<font color="#000000"><font face="Arial, Helvetica, sans-serif"><font style="font-size:12pt">Vera
Tomazella</font></font></font></p>
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