A central limit theorem for theL 2 error of positive wavelet density estimator

摘要

The asymptotic distribution of the integrated squared error of positive wavelet density estimator is derived. It is shown that three different cases arise depending on the smoothness of the unknown density. In each case the asymptotic distribution is shown to be normal. A Martingale central limit theorem is used to prove the results.