Defesa de Qualificação de Doutorado: Diêgo Farias de Oliveira
Data da publicação: 19 de fevereiro de 2025 Categoria: Notícias, Qualificação de Doutorado
Título: Bayesian Regression for Interval-Valued Data
Data: 24/02/2025
Horário: 14h
Local: Sala de Seminários – Bloco 952
Resumo:
Solving linear regression problems with interval-valued datasets is a challenging task that may arise in many real world applications. Motivated by this fact, many researchers have proposed linear regression methods to handle interval-valued data in recent years. Bayesian models provide a powerful framework for regression, particularly, due to their ability to lead with uncertainty. However, their application to interval data remains underexplored. In this paper, we propose a Bayesian Linear Regression for interval-valued data with guarantees that the predicted intervals are mathematically valid. We compare its performance against two Bayesian and one non-Bayesian linear model. Our proposed method presented competitive results and we can ensure the intervals are correct.
Banca examinadora:
- Prof. Dr. César Lincoln Cavalcante Mattos (MDCC/UFC) – Orientador
- Prof. Dr. José Antônio Fernandes de Macêdo (MDCC/UFC)
- Prof. Dr. João Paulo do Vale Madeiro (MDCC/UFC)
- Prof. Dr. João Paulo Pordeus Gomes (UFC)
