Most relevant papers
Most relevant papers
Silva, D. M. and Gamerman, D. (2024). Exact Bayesian Geostatistics under Preferential Sampling. Bayesian Analysis, DOI: 10.1214/24-BA1460.
Peripato, V., Levis, C., Moreira, G. A., Gamerman, D., Aragão, L. E. O. E. C. et al (2023). More than 10,000 Pre-Columbian earthworks are still hidden throughout Amazonia. Science, v. 386, p. 103-109.
Leonelli, M. and Gamerman, D. (2020). Semiparametric bivariate modelling with flexible extremal dependence. Statistics & Computing, 30, 221-236.
Gonçalves, F. B. and 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. and Gamerman, D. (2015). Optimal Design in Geostatistics under Preferential Sampling (with discussion). Bayesian Analysis, 10, 711-758.
Nascimento, F. F., Gamerman, D. and Lopes, H. F. (2012). A semiparametric Bayesian approach to extreme value estimation. Statistics & Computing, 22, 661-675.
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. and 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.
Most recent papers
Nolau, I., Gonçalves, F. B. and Gamerman, D. (2025). Nonparametric inference for nonstationary spatial point processes. Available on arXiv.
Prates, M. O., Gamerman, D., Candido, S. F. and Castro, L. M. (2025). A Multivariate Generalized Logistic Approach with Spatially Varying Nonlinear Components for Modeling Epidemic Data. Spatial and Spatio-Temporal Epidemiology, v. 53, 100718.
Silva, D. M. and Gamerman, D. (2024). Exact Bayesian Geostatistics under Preferential Sampling. Bayesian Analysis, DOI: 10.1214/24-BA1460.
Gamerman, D., Alves, M. B. and Quintana, M. S. B. (2024). Bayesian Modeling for Nonstationary Spatial Point Process via Spatial Deformations. Entropy, v. 26, p. 678.
Gamerman, D. (2024). Uncovering Amazonia: how statistics dismantled a myth. Significance, v. 21, p. 6-10.
Peripato, V., Levis, C., Moreira, G. A., Gamerman, D., Aragão, L. E. O. E. C. et al (2023). More than 10,000 Pre-Columbian earthworks are still hidden throughout Amazonia. Science, v. 386, p. 103-109.
Moreira, G. A. and Gamerman, D. (2022). Analysis of presence-only data via exact Bayes, with model and effects identification. Annals of Applied Statistics, 16, 1848-1867.
Gamerman, D., Ippoliti, L. and Valentini, P. (2022). A Dynamic Structural Equation Approach to Estimate the Short-Term Effects 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. and Gamerman, D. (2021). NGSSEML: Non-Gaussian state space with exact marginal likelihood. R Journal, 13, 111-228.