90 citations · 169 across the 8 of their papers we have counts for
3 papers · 1 filter
Sparse Graphical Modelling via the Sorted L-Norm
Riccardo Riccobello, Malgorzata Bogdan, Giovanni Bonaccolto +3
Sparse graphical modelling has attained widespread attention across various academic fields. We propose two new graphical model approaches, Gslope and Tslope, which provide sparse…
A 2-stage elastic net algorithm for estimation of sparse networks with heavy tailed data
Davide Bernardini, Sandra Paterlini, Emanuele Taufer
We propose a new 2-stage procedure that relies on the elastic net penalty to estimate a network based on partial correlations when data are heavy-tailed. The new estimator allows t…
New estimation approaches for graphical models with elastic net penalty
Davide Bernardini, Sandra Paterlini, Emanuele Taufer
In the context of undirected Gaussian graphical models, we introduce three estimators based on elastic net penalty for the underlying dependence graph. Our goal is to estimate the…