Self-tuning density estimation based on Bayesian averaging of adaptive kernel density estimations yields state-of-the-art performance

ADEBA is shown to be simple, robust, competitive in comparison to the current practice, and easily generalize to multivariate distributions. An implementation of the method for R is publicly available.