28 citations · 63 across the 7 of their papers we have counts for
5 papers · 1 filter
On the application of Gaussian graphical models to paired data problems
Saverio Ranciati, Alberto Roverato
Gaussian graphical models are nowadays commonly applied to the comparison of groups sharing the same variables, by jointy learning their independence structures. We consider the ca…
Fused graphical lasso for brain networks with symmetries
Saverio Ranciati, Alberto Roverato, Alessandra Luati
Neuroimaging is the growing area of neuroscience devoted to produce data with the goal of capturing processes and dynamics of the human brain. We consider the problem of inferring…
Log-mean linear regression models for binary responses with an application to multimorbidity
Monia Lupparelli, Alberto Roverato
In regression models for categorical data a linear model is typically related to the response variables via a transformation of probabilities called the link function. We introduce…
Dichotomization invariant log-mean linear parameterization for discrete graphical models of marginal independence
Alberto Roverato
We extend the log-mean linear parameterization introduced by Roverato et al. (2013) for binary data to discrete variables with arbitrary number of levels, and show that also in thi…
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…