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About me
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 the vice-chair of the Graduate Program in Statistics, UFRJ, Brazil and the vice-chair of the Professional Graduate Degree Program in Data Science, UFRJ, Brazil. For the period 2022-2024, I am 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 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.
Main research interests
Bayesian network models, Bayesian Inference for Spatiotemporal Processes, Robust models, Objective Bayesian Analysis, Dynamical models, Mortality forecast, Bayesian econometrics.
My contacts
email: thais AT im.ufrj.br
Professional address:
UFRJ - Departamento de Métodos Estatísticos, Av. Athos da Silveira Ramos, Centro de Tecnologia, Bloco C Sala C114 D, IM-UFRJ, CEP 21941-909, Rio de Janeiro, RJ - Brasil