2 papers
stat.ME2019
Disjunct Support Spike and Slab Priors for Variable Selection in Regression under Quasi-sparseness
Daniel Andrade, Kenji Fukumizu
Sparseness of the regression coefficient vector is often a desirable property, since, among other benefits, sparseness improves interpretability. In practice, many true regression…
stat.AP2018
Robust Bayesian Model Selection for Variable Clustering with the Gaussian Graphical Model
Daniel Andrade, Akiko Takeda, Kenji Fukumizu
Variable clustering is important for explanatory analysis. However, only few dedicated methods for variable clustering with the Gaussian graphical model have been proposed. Even mo…