2 papers
stat.ML2024
A network-constrain Weibull AFT model for biomarkers discovery
Claudia Angelini, Daniela De Canditiis, Italia De Feis +1
We propose AFTNet, a novel network-constraint survival analysis method based on the Weibull accelerated failure time (AFT) model solved by a penalized likelihood approach for varia…
stat.ME2019
Learning binary undirected graph in low dimensional regime
Daniela De Canditiis
Given a random sample extracted from a Multivariate Bernoulli Variable (MBV), we consider the problem of estimating the structure of the undirected graph for which the distribution…