Published or accepted for publication

1.    Juan C. Vivar and Marco A. R. Ferreira (2010), Spatio-temporal models for Gaussian areal data, Journal of Computational and Graphical Statistics, to appear.

2.    Marco A. R. Ferreira, Adelmo I. Bertolde and Scott Holan (2009), Analysis of economic data with multi-scale spatio-temporal models, Handbook of Applied Bayesian Analysis, Editors: O'Hagan and West, Oxford University Press, to appear.

3.    Marco A. R. Ferreira (2009), Invited Discussion on Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations by H. Rue, S. Martino and Nicolas Chopin, Journal of the Royal Statistical Society - Series B, to appear.

4.    Ramiro Ruiz, Marco A. R. Ferreira and Alexandra M. Schmidt (2009), Stochastic Search Algorithms for Optimal Monitoring Network Designs, Environmetrics, to appear.

5.    Mariane B. Alves, Dani Gamerman and Marco A. R. Ferreira (2009), Transfer Functions in Dynamic Generalized Linear Models, Statistical Modelling, to appear.

6.    Thais C. O. Fonseca, Marco A. R. Ferreira and Helio S. Migon (2008), Objective Bayesian analysis for the Student-t regression model, Biometrika, vol 95, pp 325-333.

7.    Marco A. R. Ferreira and Marc A. Suchard (2008), Bayesian Analysis of Elapsed Times in Continuous-Time Markov Chains, Canadian Journal of Statistics, vol 36, pp 355-368.

8.    Marco A. R. Ferreira and Herbert K. H. Lee (2007), Multiscale Modeling: A Bayesian Perspective, Springer Series in Statistics, New York: Springer.

9.    Marco A. R. Ferreira and Victor de Oliveira (2007), Bayesian reference analysis for Gaussian Markov Random Fields, Journal of Multivariate Analysis, vol. 98, 789-812.

10.Ramiro Ruiz, Marco A. R. Ferreira and Alexandra M. Schmidt (2007), Evolutionary Markov chain Monte Carlo algorithms for optimal monitoring network designs, Proceedings of the Joint Statistical Meetings 2007, Section on Bayesian Statistical Science, 1332-1338.

11.Marco A. R. Ferreira, Mike West, Herbert K. H. Lee and David Higdon (2006), Multi-scale and hidden resolution time series models, Bayesian Analysis, vol. 1, n. 4, 947-968.

12.Migon, H. S., Gamerman, D., Lopes, H. F. and Ferreira, M. A. R. (2005), Bayesian Dynamic Models, In Handbook of Statistics, Volume 25: Bayesian Thinking, Modeling and Computation, 553-588, (Editors Dey, D. and Rao, C.R.), Elsevier, Amsterdam.

13.Marco A. R. Ferreira (2005), Invited Discussion on Conceitos Estatisticos: Reflexoes by Carlos A. B. Pereira, (in Portuguese), Revista Brasileira de Estatistica, vol. 66, 7-49.

14.Marco A. R. Ferreira, Zhuoxin Bi, Mike West, Herbert K. H. Lee and David Higdon (2003), Multi-scale modeling of 1-D permeability fields, in Bayesian Statistics 7, (Editors: Bernardo, Berger, Dawid and Smith), pp. 519-527.  Oxford University Press.

15.Herbert K. H. Lee, David Higdon, Zhuoxin Bi, Marco A. R. Ferreira and Mike West (2002), Markov random field models for high-dimensional parameters in simulations of fluid flow in porous media, Technometrics, vol. 44, n. 3, 230-241.

16.Fernando A. S. Moura, Helio S. Migon and Marco A. R. Ferreira (2000), Small area estimation for binary data via Bayesian Hierarchical Models, Statistics in Transition, vol. 4, n. 4, 665-677.

17.Marco A. R. Ferreira and Dani Gamerman (2000), Dynamic Generalized Linear Models, in Generalized Linear Models: a Bayesian Perspective, pp. 57-72, (Editors Dey, Ghosh and Mallick), Marcel Dekker, New York.

18.Herbert K. H. Lee, David Higdon, Zhuoxin Bi, Marco A. R. Ferreira and Mike West (2000), Markov random field models for high-dimensional parameters in simulations of fluid flow in porous media, Proceedings of the Joint Statistical Meetings (Award of Best Contributed Paper by the Statistical Computing Section).

19.Marco A. R. Ferreira and Dani Gamerman (1999), Bayesian analysis of epidemiologic count series via dynamic generalized Bayesian models (In Portuguese), Cadernos de Saude Coletiva, vol. 6, 145-155.

20.Marco A. R. Ferreira, Dani Gamerman and Helio S. Migon (1997), Bayesian Dynamic Hierarchical Models: Covariance Matrices Estimation and Nonnormality, Brazilian Journal of Probability and Statistics, vol. 11, 67-79.

21.Marco A. R. Ferreira (1997), Predictive distribution and model comparison (In Portuguese), Bulletin of the Brazilian Statistical Association, vol. 38, 28-31.