The covariate adjusted glasso is one of the most used estimators for in- ferring 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.
Luigi Augugliaro, Gianluca Sottile, Veronica Vinciotti (2021). Covariate adjusted censored gaussian lasso estimator. In Book of Short Papers SIS 2021 (pp. 1456-1461).
Covariate adjusted censored gaussian lasso estimator
Luigi Augugliaro
Primo
;Gianluca SottileSecondo
;
2021-06-01
Abstract
The covariate adjusted glasso is one of the most used estimators for in- ferring 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.
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