Abstract
This article considers wavelet estimations for density functions in Besov spaces based on negatively dependent biased random samples. More precisely, wavelet estimators are defined and their convergence rates are provided when the parameter μ is known and unknown, respectively.
Acknowledgments
The authors would like to thank two referees for their important suggestions and comments, which improve the manuscript very much.
Disclosure statement
No potential conflict of interest was reported by the authors.