I am an Associate Professor at the Federal University of Rio de Janeiro (UFRJ), Brazil, a position I have held since 2011. I obtained my PhD in Statistics in 2010 from the University of Warwick (UK), where I completed the thesis “On Flexible Modelling of Spatiotemporal Processes” under the supervision of Prof Mark Steel.
From 2019 to 2020, I was a Research Fellow at the Applied Statistics & Risk Unit (AS&RU), University of Warwick. Between 2022 and 2024, I served as a member of the Board of Directors of the International Society for Bayesian Analysis (ISBA). Currently, I am a CNPq Productivity Fellow and a 'Cientista do Nosso Estado' Fellow (FAPERJ).
Papers published from my PhD thesis:
Non-Gaussian spatiotemporal modelling through scale mixing (Biometrika, 2011);
A general class of nonseparable space–time covariance models (Environmetrics, 2011).
I completed my MSc at UFRJ in June 2004 with a dissertation entitled "Bayesian Reference analysis for the Generalized Hyperbolic Distributions".
Papers published from this dissertation:
Objective Bayesian analysis for the Student-t regression model (Biometrika, 2008);
Bayesian analysis based on the Jeffreys prior for the hyperbolic distribution (Brazilian Journal of Probability and Statistics, 2012).
Campinas, SP, 2025.
Bayesian network models, Bayesian artificial intelligence, Inference for Spatiotemporal Processes, Robust models, Mortality forecast, Bayesian econometrics.
email: thais AT im.ufrj.br
Professional address:
UFRJ - Departamento de Métodos Estatísticos, Av. Athos da Silveira Ramos, Centro de Tecnologia, Bloco C Sala C127 gabinete 5, IM-UFRJ, CEP 21941-909, Rio de Janeiro, RJ - Brasil