Estimation of nonparametric regression models by wavelets
Author:
Funder
Fundação de Amparo à Pesquisa do Estado de São Paulo
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Statistics, Probability and Uncertainty,General Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40863-021-00240-5.pdf
Reference40 articles.
1. Abramovich, F., Sapatinas, T., Silverman, B.W.: Wavelet thresholding via a Bayesian approach. J. R. Stat. Soc. B 60, 725–749 (1998)
2. Antoniadis, A., Fan, J.: Regularization of wavelet approximations. J. Am. Stat. Assoc. 96, 940–967 (2001)
3. Antoniadis, A., Leporini, D., Pesquet, J.C.: Wavelet thresholding for some classes of non-Gaussian noise. Stat. Neerl. 56, 434–453 (2002)
4. Barber, S., Nason, G.P., Silverman, B.W.: Posterior probability intervals for wavelet thresholding: probability intervals for wavelet thresholding. J. R. Stat. Soc. Ser. B (Stat. Methodol.) 64, 189–205 (2002)
5. Bühlmann, P., van de Geer, S.: Statistics for High Dimensional Data. Springer, Berin (2011)
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