An extension of the censored gaussian lasso estimator

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The conditional 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.
Original languageEnglish
Title of host publicationSmart Statistics for Smart Applications - Book of Short Papers SIS2019
Pages39-46
Number of pages8
Publication statusPublished - 2019

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