Sampling from the posterior distribution in generalized linear mixed models. - Dani Gamerman (Stat. Comput., 1997)

Space-varying regression models: specifications and simulation. - Dani Gamerman; Ajax R. B. Moreira; Håvard Rue (Comput. Stat. Data Anal., 2003)

On computational aspects of Bayesian spatial models: influence of the neighboring structure in the efficiency of MCMC algorithms. - Vinícius D. Mayrink; Dani Gamerman (Comput. Stat., 2009)

Bayesian spatiotemporal model of fMRI data. - Alicia Quirós Carretero; Raquel Montes Diez; Dani Gamerman (NeuroImage, 2010)

Generalized spatial dynamic factor models. - Hedibert Freitas Lopes; Dani Gamerman; Esther Salazar (Comput. Stat. Data Anal., 2011)

A semiparametric Bayesian approach to extreme value estimation. - Fernando Ferraz do Nascimento; Dani Gamerman; Hedibert Freitas Lopes (Stat. Comput., 2012)

Simultaneous multifactor DIF analysis and detection in Item Response Theory. - F. B. Gonçalves; Dani Gamerman; T. M. Soares (Comput. Stat. Data Anal., 2013)

Bayesian dynamic models for space-time point processes. - Edna Afonso Reis; Dani Gamerman; Marina S. Paez; Thiago G. Martins (Comput. Stat. Data Anal., 2013)

Reliability Analysis via Non-Gaussian State-Space Models. - Thiago Rezende Dos Santos; Dani Gamerman; Glaura C. Franco (IEEE Trans. Reliab., 2017)

Semiparametric bivariate modelling with flexible extremal dependence. - Manuele Leonelli; Dani Gamerman (Stat. Comput., 2020)

NGSSEML: Non-Gaussian State Space with Exact Marginal Likelihood. - Thiago Rezende Dos Santos; Glaura C. Franco; Dani Gamerman (R J., 2021)

Bayesian Modeling for Nonstationary Spatial Point Process via Spatial Deformations. - Dani Gamerman; Marcel de Souza Borges Quintana; Mariane Branco Alves (Entropy, 2024)