A Bayesian Approach for Decision Making on the Identification of Genes with Different Expression Levels: An Application to Escherichia coli Bacterium Data. - Erlandson Ferreira Saraiva; Francisco Louzada 001; Luís Aparecido Milan; Silvana Meira; Juliana Cobre (Comput. Math. Methods Medicine, 2012)

Mixture models with an unknown number of components via a new posterior split-merge MCMC algorithm. - Erlandson Ferreira Saraiva; Francisco Louzada 001; Luís Aparecido Milan (Appl. Math. Comput., 2014)

Bayesian Computational Methods for Sampling from the Posterior Distribution of a Bivariate Survival Model, Based on AMH Copula in the Presence of Right-Censored Data. - Erlandson Ferreira Saraiva; Adriano Kamimura Suzuki; Luís Aparecido Milan (Entropy, 2018)

An Integrated Approach for Making Inference on the Number of Clusters in a Mixture Model. - Erlandson Ferreira Saraiva; Adriano Kamimura Suzuki; Luís Aparecido Milan; Carlos Alberto De Bragança Pereira (Entropy, 2019)

A new Bayesian approach for QTL mapping of family data. - Daiane Aparecida Zuanetti; Luís Aparecido Milan (J. Bioinform. Comput. Biol., 2022)

Bayesian Modeling for Epistasis Analysis Using Data-Driven Reversible Jump. - Daiane Aparecida Zuanetti; Luís Aparecido Milan (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)