... estimator, the impact of the discretization, the impact of the inference algorithm, and the influence of sample and network size The section concludes with the identification of the best combination of inference ... generator, the description of the real data setting, and the related discussions of the results Section concludes the paper Estimators of Information An information theoretic network inference ... and Pearson) on the mutual information computation once a hypothesis of normality is done Interestingly enough, the Spearman- and the Pearson -based information estimators emerge as the most competitive...