13 citations · 33 across the 6 of their papers we have counts for
6 papers
Spatial Bayesian Hierarchical Modelling with Integrated Nested Laplace Approximation
Nicoletta D'Angelo, Antonino Abbruzzo, Giada Adelfio
We consider latent Gaussian fields for modelling spatial dependence in the context of both spatial point patterns and areal data, providing two different applications. The inhomoge…
L1-Penalized Censored Gaussian Graphical Model
Luigi Augugliaro, Antonino Abbruzzo, Veronica Vinciotti
Graphical lasso is one of the most used estimators for inferring genetic networks. Despite its diffusion, there are several fields in applied research where the limits of detection…
Generalized information criterion for model selection in penalized graphical models
Antonino Abbruzzo, Ivan Vujačić, Ernst Wit +1
This paper introduces an estimator of the relative directed distance between an estimated model and the true model, based on the Kulback-Leibler divergence and is motivated by the…
A computationally fast alternative to cross-validation in penalized Gaussian graphical models
Ivan Vujacic, Antonino Abbruzzo, Ernst Wit
We study the problem of selection of regularization parameter in penalized Gaussian graphical models. When the goal is to obtain the model with good predicting power, cross validat…
Factorial graphical lasso for dynamic networks
E. C. Wit, A. Abbruzzo
Dynamic networks models describe a growing number of important scientific processes, from cell biology and epidemiology to sociology and finance. There are many aspects of dynamica…
Modelling slowly changing dynamic gene-regulatory networks
Antonino Abbruzzo, Ernst Wit
Dynamic gene-regulatory networks are complex since the number of potential components involved in the system is very large. Estimating dynamic networks is an important task because…