Adaptive wavelet estimation of a biased density for strongly mixing sequences
Summary: The estimation of a biased density for exponentially strongly mixing sequences is investigated. We construct a new adaptive wavelet estimator based on a hard thresholding rule. We determine a sharp upper bound of the associated mean integrated square error for a wide class of functions.
scientific article; zbMATH DE number 5900734