EMS 2019
Abstract
The covariate adjusted glasso 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 of modern measurement technologies make the use of this estimator theoretically unfounded, even when the assumption of a multivariate Gaussian distribution is satisfied. In this paper we propose an extension to censored data.
Date
Jul 22, 2019 — Jul 26, 2019
Event
Location
University of Palermo
Palermo, Sicily
Gianluca Sottile
Research Fellow in Statistics
Doctor Europaeus
My research interests are related to the area of applied statistical learning, with particular focus on robust models.