2 papers
stat.ME2024
A Computationally Efficient Approach to False Discovery Rate Control and Power Maximisation via Randomisation and Mirror Statistic
Marco Molinari, Magne Thoresen
Simultaneously performing variable selection and inference in high-dimensional regression models is an open challenge in statistics and machine learning. The increasing availabilit…
stat.ME2022
Bayesian Dynamic Network Modelling: an application to metabolic associations in cardiovascular diseases
Marco Molinari, Andrea Cremaschi, Maria De Iorio +3
We propose a novel approach to the estimation of multiple Graphical Models to analyse temporal patterns of association among a set of metabolites over different groups of patients.…