I am an Associate Professor at the Federal University of Rio de Janeiro (UFRJ) in Brazil since 2011. In 2019-2020 I was a research fellow at the Applied Statistics & Risk Unit (AS&RU), University of Warwick, UK. Currently, I am a CNPq Productivity Fellow and a 'Cientista do Nosso Estado' Fellow (FAPERJ). For the period 2022-2024, I was a member of the board of directors of the International Society for Bayesian Analysis (ISBA).
I finished my PhD in 2010 at the University of Warwick (UK) with a thesis entitled "On flexible modelling of spatiotemporal processes", supervised by Prof Mark Steel.
Papers published from this thesis:
Non-Gaussian spatiotemporal modelling through scale mixing (Biometrika, 2011);
A general class of nonseparable space–time covariance models (Environmetrics, 2011).
I completed my undergraduate studies (January 2004) in the Department of Statistics at UFRJ. My final project was on Mixture Models using latent variables. After that, 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).
Palácio do Catete, RJ, 2022.
Bayesian network models, Bayesian artificial intelligence, Inference for Spatiotemporal Processes, Robust models, Objective Bayesian Analysis, 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