28 citations · 45 across the 3 of their papers we have counts for
3 papers
stat.ME2015
Objective Bayes Covariate-Adjusted Sparse Graphical Model Selection
G. Consonni, L. La Rocca
We present an objective Bayes method for covariance selection in Gaussian multivariate regression models whose error term has a covariance structure which is Markov with respect to…
stat.ME2013★ 17 cited
The Whetstone and the Alum Block: Balanced Objective Bayesian Comparison of Nested Models for Discrete Data
Guido Consonni, Jonathan J. Forster, Luca La Rocca
When two nested models are compared, using a Bayes factor, from an objective standpoint, two seemingly conflicting issues emerge at the time of choosing parameter priors under the…
stat.ME2011★ 28 cited
Log-mean linear models for binary data
Alberto Roverato, Monia Lupparelli, Luca La Rocca
This paper introduces a novel class of models for binary data, which we call log-mean linear models. The characterizing feature of these models is that they are specified by linear…