Marcos Oliveira Prates

Department of Statistics
Universidade Federal de Minas Gerais

Avenida Presidente Antônio Carlos, 6627, ICEX, Departamento de Estatística 

– Pampulha, Belo Horizonte - Minas Gerais, 31270-901

Email: (marcosop at est.ufmg.br)

Curriculum Vitae

I am currently a professor in the Department of Statistics at the Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. I received my PhD in Statistics  in 2011 from the University of Connecticut, Storrs, USA, under the supervision of Jun Yan and Dipak K. Dey. My main research fields of interests are: Generalized Linear Mixed Models (GLMM), Bayesian Statistics, Spatial Statistics, Gaussian Markov Random Fields and Asymmetrical Distributions. I focus my research on application of these methodologies in ecological, criminal and health related problems.



Recent Publications

  1. Lachos, Victor H.; Cabral, Celso R. B.; Prates, Marcos O.; Dey, Dipak K.. Flexible regression modeling for censored data based on mixtures of student-t distributions. Computational Statistics, v.34, p. 123-152, 2019.
  2. Cornejo, Zaida Q.; Prates, Marcos O.. Bayesian spatio-temporal modelling of anchovy abundance through the SPDE Approach. Spatial Statistics, v. 28, p. 236-256, 2018.
  3. Meredith, Christy S.; Budy, Phaedra; Hooten, Mevin B. ; Prates, Marcos O.. Assessing conditions influencing the longitudinal distribution of exotic brown trout (Salmo trutta) in a mountain stream: a spatially-explicit modeling approach. Biological Invasions (Dordrecht. Online), v. 19, p. 503-519, 2017.
  4. Cortes, Renan X.; Martins, Thiago G.; Prates, Marcos O.; Silva, Bráulio F. A. O.. Inference on Dynamic Models for non-Gaussian Random Fields using INLA. Brazilian Journal of Probability and Statistics, v. 31, p. 1-23, 2017.
  5. Veloso, Bráulio M.; Correa, Thais R.; Prates, Marcos. O.; Oliveira, Gabriel F.; Tavares, André I.. MAD-STEC: a method for multiple automatic detection of space-time emerging clusters. Statistics and Computing, 2017.