supported by National Natural Science Foundation of China (Grant Nos. 11526150, 11601383 and 11271038)
This paper studies wavelet estimations for supersmooth density functions with additive noises. We first show lower bounds of Lprisk(1 p < ∞) with both moderately and severely ill-posed noises. Then a Shannon wavelet ...
Supported by National Natural Science Foundation of China(Grant No.11271038)
This paper deals with the LP-consistency of wavelet estimators for a density function based on size-biased random samples. More precisely, we firstly show the LP-consistency of wavelet estimators for independent and i...
supported by National Natural Science Foundation of China(Grant No.11271038)
This paper studies directional Hlder regularity of two-variable functions by their shearlet coefficients, where the shearlets are defined by Guo and Labate(2013). We provide necessary conditions for a function possess...
Acknowledgements The author would like to thank Professor Youming Liu, for his helpful guidance. This work was supported by the National Natural Science Foundation of China (Grant No. 11271038) and the Research Project of Baoji University of Arts and Sciences (ZK14060).
We define a wavelet linear estimator for density derivative in Besov space based on a negatively associated stratified size-biased random sample. We provide two upper bounds of wavelet estimations on L^p (1 ≤ p 〈 ...