About Rafael Medeiros Cabral Rafael Medeiros Cabral Ph.D. Student, Statistics Education Rafael obtained a B.Sc. degree in Engineering Physics in 2017 from the University of Lisbon (Instituto Superior Tecnico). Then he joined a M.Sc. degree in Mathematics and Applications in the same university, focused on Statistics and Data Science. He is currently a Ph.D. student in Statistics under the supervision of Professor Håvard Rue. Research Interests His research interests are mainly focused on data science, bayesian and computational statistics. Honors and Awards Rafael received two diplomas of academic merit issued by the University of Lisbon, one during his B.Sc. in Events Presented Events May 28 - Jun 3, 2023 Criticism and robustification of latent Gaussian models Rafael Medeiros Cabral, Ph.D. Student, Statistics May 28, 15:00 - 16:00 B1 L4 R4102 latent Gaussian models Latent Gaussian models (LGM) are widely used but struggle with certain datasets that contain non-Gaussian features, such as sudden jumps or spikes. This dissertation aims to provide tools for researchers to check the adequacy of the fitted LGM (criticism); if the check fails, offer efficient and user-friendly implementations of latent non-Gaussian models, which lead to more robust inferences (robustification).
Criticism and robustification of latent Gaussian models Rafael Medeiros Cabral, Ph.D. Student, Statistics May 28, 15:00 - 16:00 B1 L4 R4102 latent Gaussian models Latent Gaussian models (LGM) are widely used but struggle with certain datasets that contain non-Gaussian features, such as sudden jumps or spikes. This dissertation aims to provide tools for researchers to check the adequacy of the fitted LGM (criticism); if the check fails, offer efficient and user-friendly implementations of latent non-Gaussian models, which lead to more robust inferences (robustification).
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