Publicações

Artigos mais significativos

  • Moreira, G. A. e Gamerman, D. (2022). Analysis of presence-only data via exact Bayes, with model and effects identification. Annals of Applied Statistics, 16.
  • Gamerman, D., Ippoliti, L. e Valentini, P. (2022). A Dynamic Structural Equation Approach to Estimate the Short-Term E ects of Air Pollution on Human Health. Journal of the Royal Statistical Society: Series C (Applied Statistics), 71, 739-769.
  • Leonelli, M. e Gamerman, D. (2020). Semiparametric bivariate modelling with flexible extremal dependence. Statistics & Computing, 30, 221-236.
  • Gonçalves, F. B. e Gamerman, D. (2018). Exact Bayesian inference in spatio-temporal Cox processes driven by multivariate Gaussian processes. Journal of the Royal Statistical Society: Series B, 80, 157-175.
  • Ferreira, G. S. e Gamerman, D. (2015). Optimal Design in Geostatistics under Preferential Sampling (with discussion). Bayesian Analysis, 10, 711-758.
  • Gamerman, D., Santos, T. R. e Franco, G. C. (2014). A non-Gaussian family of state-space models with exact marginal likelihood. Journal of Time Series Analysis, 35, 625-645.
  • Nascimento, F. F., Gamerman, D. e Lopes, H. F. (2012). A semiparametric Bayesian approach to extreme value estimation. Statistics & Computing, 22, 661-675.
  • Lopes, H. F., Salazar, E. e Gamerman, D. (2008). Spatial dynamic factor analysis. Bayesian Analysis, 3, 759-792.
  • Gamerman, D. e Moreira, A. R. B. (2004). Multivariate spatial regression models. Journal of Multivariate Analysis, 91, 262-281.
  • Gamerman, D. (1998). Markov chain Monte Carlo for dynamic generalized linear models. Biometrika, 85, 215-227.
  • Gamerman, D. (1997). Sampling from the posterior distribution in generalized linear mixed models. Statistics & Computing, 7, 57-68.
  • Gamerman, D. e Migon, H. S. (1993). Dynamic hierarchical models. Journal of the Royal Statistical Society, Series B, 55, 629-642.
  • Gamerman, D. (1992). A dynamic approach to the statistical analysis of point processes. Biometrika, 79, 39-50.
  • Gamerman, D. (1991). Dynamic Bayesian models for survival data. Applied Statistics, 40, 63-79.

Artigos mais recentes

  • Moreira, G. A. e Gamerman, D. (2022). Analysis of presence-only data via exact Bayes, with model and effects identification. Annals of Applied Statistics, 16.
  • Gamerman, D., Ippoliti, L. e Valentini, P. (2022). A Dynamic Structural Equation Approach to Estimate the Short-Term E ects of Air Pollution on Human Health. Journal of the Royal Statistical Society: Series C (Applied Statistics), 71, 739-769.
  • Santos, T. R., Franco, G. C. e Gamerman, D. (2021). NGSSEML: Non-Gaussian state space with exact marginal likelihood. R Journal.
  • Leonelli, M. e Gamerman, D. (2020). Semiparametric bivariate modelling with flexible extremal dependence. Statistics & Computing, 30, 221-236.
  • Gamerman, D. (2019). Spatiotemporal point processes: regression, model specifications and future directions. Brazilian Journal of Probability and Statistics, 33, 686-705.
  • Gonçalves, F. B. e Gamerman, D. (2018). Exact Bayesian inference in spatio-temporal Cox processes driven by multivariate Gaussian processes. Journal of the Royal Statistical Society: Series B, 80, 157-175.

Livros

  • Building a Platform for Data-Driven Pandemic Prediction: From Data Modelling to Visualisation - The CovidLP Project, Chapman and Hall: London, 2021, com Marcos Prates, Thais Paiva e Vinicius Mayrink.
  • Statistical Inference: an Integrated Approach, Arnold: London, com Migon, H. S., 1999 (1st edition) and Chapman & Hall: London, 2014 (2nd edition), com Migon, H. S. e Louzada, F.
  • Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Chapman & Hall: London, 1997 (1st. edition) and 2006 (2nd edition, with Hedibert F. Lopes)
  • Modelos de espaço de estados: abordagens clássica e Bayesiana, ABE: São Paulo, com Glaura C. Franco e Thiago R. Santos, 2009.
  • Modelagem de processos Espaço-temporais, ABE: São Paulo, com Marina S. Paez, 2005.
  • Simulação Estocástica via Cadeias de Markov, ABE: São Paulo, 1996.
Conferências