3 papers
Model-based Inference for Rare and Clustered Populations from Adaptive Cluster Sampling using Auxiliary Variables
Izabel Nolau de Souza, Kelly Cristina Mota Gonçalves, João Batista de Morais Pereira
Rare populations, such as endangered animals and plants, drug users and individuals with rare diseases, tend to cluster in regions. Adaptive cluster sampling is generally applied t…
Bayesian factor models for multivariate categorical data obtained from questionnaires
Vitor G. C. da Silva, Kelly C. M. Gonçalves, João B. M. Pereira
Factor analysis is a flexible technique for assessment of multivariate dependence and codependence. Besides being an exploratory tool used to reduce the dimensionality of multivari…
A weakly informative prior for Bayesian dynamic model selection with applications in fMRI
Jairo Alberto Fuquene Patiño, Brenda Betancourt, João B. M. Pereira
In recent years, Bayesian statistics methods in neuroscience have been showing important advances. In particular, detection of brain signals for studying the complexity of the brai…