[ABE-L] Convite - Seminário do Programa de Pós-Graduação em Estatística e Ciência de Dados da UFBA

['Paulo Henrique Ferreira da Silva' via abe-l@ime.usp.br]

Prezados(as) redistas, 



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 Fernando Marmolejo-Ramos , da Flinders University (Austrália). 




O evento será realizado nesta sexta-feira, 23 de maio de 2025 , às 10h45 , por meio da sala virtual: https://conferenciaweb.rnp.br/ufba/aulas-ime . 



A seguir, as demais informações sobre a palestra e o palestrante. 




Title: GAMLSS as a framework for statistical learning 




Abstract: 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. 




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. 




Todos(as) são muito bem-vindos(as)! 



Atenciosamente, 




Paulo H. Ferreira 

Coordenador do PGECD-UFBA 
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Paulo Henrique Ferreira 
Professor, Departamento de Estatística, Universidade Federal da Bahia 
Coordenador, Programa de Pós-Graduação em Estatística e Ciência de Dados da UFBA 
Coordenador, Centro de Estudos do Risco (CER-UFBA) 
Editor Associado, Computational Statistics 
CV Lattes: http://lattes.cnpq.br/8538524597034643 
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