How to infer the informational energy from small datasets

Motivated by the problems in machine learning, we introduce a novel non-parametric estimator of Onicescu's informational energy. Our method is based on the k-th nearest neighbor distances between the n sample points, where k is a fixed positive integer. For some standard distributions, we investigate the performance of the estimator for small datasets.