A Data-Driven Wavelet Estimator For Deconvolution Density Estimations
Author:
Funder
National Natural Science Foundation of China
Science and Technology Program of Beijing Municipal Commission of Education
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s00025-023-01928-0.pdf
Reference20 articles.
1. Cao, K.K., Zeng, X.C.: Adaptive wavelet density estimation under independence hypothesis. Results Math. 76(4), 196 (2021)
2. Comte, F., Lacour, C.: Anisotropic adaptive kernel deconvolution. Ann. Inst. H. Poincaré Probab. Statist. 49(2), 569–609 (2013)
3. Daubechies, I.: Ten Lectures on Wavelets. SIAM, Philadelphia (1992)
4. Delyon, B., Juditsky, A.: On minimax wavelet estimator. Appl. Comput. Harmon. Anal. 3(3), 215–228 (1996)
5. Donoho, D.L., Johnstone, I.M., Kerkyacharian, G., Picard, D.: Density estimation by wavelet thresholding. Ann. Statist. 24(2), 508–539 (1996)
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