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Regularization of Wavelet Approximations


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  • Antoniadis A.
  • Fan J.


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Bibliographic Info

Article provided by American Statistical Association in its journal Journal of the American Statistical Association.

Volume (Year): 96 (2001)
Issue (Month): (September)
Pages: 939-967

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Handle: RePEc:bes:jnlasa:v:96:y:2001:m:september:p:939-967

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Cited by:
  1. Véronique Delouille & Rainer Sachs, 2005. "Estimation of nonlinear autoregressive models using design-adapted wavelets," Annals of the Institute of Statistical Mathematics, Springer, vol. 57(2), pages 235-253, June.
  2. Donghoh Kim & Hee-Seok Oh, . "CVTresh: R Package for Level-Dependent Cross-Validation Thresholding," Journal of Statistical Software, American Statistical Association, vol. 15(i10).
  3. Hee-Seok Oh & Donghoh Kim & Youngjo Lee, 2009. "Cross-validated wavelet shrinkage," Computational Statistics, Springer, vol. 24(3), pages 497-512, August.
  4. Hong, Zhaoping & Lian, Heng, 2013. "Sparse-smooth regularized singular value decomposition," Journal of Multivariate Analysis, Elsevier, vol. 117(C), pages 163-174.
  5. Haibo Zhou & Jinhong You & Bin Zhou, 2010. "Statistical inference for fixed-effects partially linear regression models with errors in variables," Statistical Papers, Springer, vol. 51(3), pages 629-650, September.
  6. Natalia Bailey & Vanessa Smith & Hashem Pesaran, 2014. "A multiple testing approach to the regularisation of large sample correlation matrices," Cambridge Working Papers in Economics 1413, Faculty of Economics, University of Cambridge.
  7. Irène Gannaz, 2013. "Wavelet penalized likelihood estimation in generalized functional models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 22(1), pages 122-158, March.


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