A note on the adaptive estimation of the differential entropy by wavelet methods
In this note we consider the estimation of the differential entropy of a probability density function. We propose a new adaptive estimator based on a plug-in approach and wavelet methods. Under the mean error, , this estimator attains fast rates of convergence for a wide class of functions. We present simulation results in order to support our theoretical findings.