<html><body><div style="font-family: times new roman, new york, times, serif; font-size: 12pt; color: #000000"><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="direction: ltr; unicode-bidi: embed; font-size: small; color: rgb(0, 0, 0);">Prezados(as) redistas,</span></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="direction: ltr; unicode-bidi: embed; font-size: small; color: rgb(0, 0, 0);"> </span></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="font-size: small; color: rgb(0, 0, 0);">O Programa de Pós-Graduação em Estatística e Ciência de Dados (PGECD) da Universidade Federal da Bahia (UFBA) convida a todos(as) para a palestra virtual do Professor <strong>Fernando Marmolejo-Ramos</strong>, da Flinders University (Austrália).</span></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545; min-height: 14px;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545; min-height: 14px;"><br></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="direction: ltr; unicode-bidi: embed; font-size: small; color: rgb(0, 0, 0);">O evento será realizado nesta sexta-feira, <strong>23 de maio de 2025</strong>, às <strong>10h45</strong>, por meio da sala virtual: <span style="color: rgb(0, 0, 128);"><a href="https://conferenciaweb.rnp.br/ufba/aulas-ime" data-mce-href="https://conferenciaweb.rnp.br/ufba/aulas-ime"><span style="color: rgb(0, 0, 128);"><b>https://conferenciaweb.rnp.br/ufba/aulas-ime</b></span></a></span>.</span></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="direction: ltr; unicode-bidi: embed; font-size: small; color: rgb(0, 0, 0);"> </span></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="font-size: small; color: rgb(0, 0, 0);">A seguir, as demais informações sobre a palestra e o palestrante.</span></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545; min-height: 14px;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545; min-height: 14px;"><br></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="font-size: small; color: rgb(0, 0, 0);"><span style="direction: ltr; unicode-bidi: embed;" data-mce-style="direction: ltr; unicode-bidi: embed;">Title: </span>GAMLSS as a framework for statistical learning</span></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545; min-height: 14px;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545; min-height: 14px;"><br></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="font-size: small; color: rgb(0, 0, 0);"><span style="direction: ltr; unicode-bidi: embed;" data-mce-style="direction: ltr; unicode-bidi: embed;">Abstract: </span>This talk, "GAMLSS for Statistical Learning," presents Generalized Additive Models for Location, Scale, and Shape (GAMLSS) as a robust framework for statistical learning, moving "beyond means" in data analysis. Traditional statistical methods often rely on means and standard deviations, assuming data normality, which is rarely the case in practice. GAMLSS offers a more flexible approach by allowing the modeling of all four parameters of a response variable's distribution—location, scale, skewness, and kurtosis—and their non-linear associations with covariates. The presentation illustrates GAMLSS's capabilities through examples, including the modeling of reaction time data, which are typically not normally distributed. It highlights GAMLSS's high flexibility, interpretability, and accuracy compared to traditional linear models, generalized linear models, and generalized additive models. This approach provides a comprehensive understanding of data distributions, offering a more nuanced and accurate representation of underlying phenomena.</span></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545; min-height: 14px;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545; min-height: 14px;"><br></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="font-size: small; color: rgb(0, 0, 0);">Short-Bio: Dr. Fernando Marmolejo-Ramos is an academic lecturer specializing in research methods at Flinders University. He holds a Master of Applied Science (MAppSc) in cognitive psychology, completed by research at the University of Ballarat (2005–2007), followed by a Ph.D. in experimental psychology, also by research, from the University of Adelaide (2007–2011). From November 2014 to December 2016, he conducted postdoctoral research at Stockholm University’s Department of Psychology. His scholarly focus spans embodied cognition, including the embodiment of language and emotions, applied statistics and methodology, and interdisciplinary studies on human-machine/AI collaboration and interaction.</span></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545; min-height: 14px;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545; min-height: 14px;"><br></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="font-size: small; color: rgb(0, 0, 0);">Todos(as) são muito bem-vindos(as)!</span></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="direction: ltr; unicode-bidi: embed; font-size: small; color: rgb(0, 0, 0);"> </span></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="font-size: small; color: rgb(0, 0, 0);">Atenciosamente,</span></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545; min-height: 14px;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545; min-height: 14px;"><br></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="direction: ltr; unicode-bidi: embed; font-size: small; color: rgb(0, 0, 0);">Paulo H. Ferreira</span></p><p style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;" data-mce-style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: 'Helvetica Neue'; color: #454545;"><span style="direction: ltr; unicode-bidi: embed; font-size: small; color: rgb(0, 0, 0);">Coordenador do PGECD-UFBA</span></p><div><span style="direction: ltr; unicode-bidi: embed;" data-mce-style="direction: ltr; unicode-bidi: embed;"> </span></div><div>-- <br></div><div><span name="x"></span>-- <br>Paulo Henrique Ferreira<br>Professor, Departamento de Estatística, Universidade Federal da Bahia<br>Coordenador, Programa de Pós-Graduação em Estatística e Ciência de Dados da UFBA<br>Coordenador, Centro de Estudos do Risco (CER-UFBA)<br>Editor Associado, Computational Statistics<br>CV Lattes: <a href="http://lattes.cnpq.br/8538524597034643">http://lattes.cnpq.br/8538524597034643</a></div></div></body></html>