3 papers
stat.ME2025
Lower-dimensional posterior density and cluster summaries for overparameterized Bayesian models
Henrique Bolfarine, Hedibert F. Lopes, Carlos M. Carvalho
The usefulness of Bayesian models for density and cluster estimation is well established across multiple literatures. However, there is still a known tension between the use of sim…
stat.ME2020
Decoupling Shrinkage and Selection in Gaussian Linear Factor Analysis
Henrique Bolfarine, Carlos M. Carvalho, Hedibert F. Lopes +1
Factor Analysis is a popular method for modeling dependence in multivariate data. However, determining the number of factors and obtaining a sparse orientation of the loadings are…
stat.AP2018
Network reconstruction with local partial correlation: a comparative evaluation
Henrique Bolfarine, Lina Thomas, Anatoly Yambartsev
Over the past decade, various methods have been proposed for the reconstruction of networks modeled as Gaussian Graphical Models. In this work, we analyzed three different approach…