The wavelet threshold estimator of a regression function for the random design is constructed. The optimal uniform convergence rate of the estimator in a ball of Besov Space B s p, q is proved under general assumptions. The adaptive wavelet threshold estimator with near-optimal convergence rate in a
Wavelet estimation for samples with random uniform design
โ Scribed by T.Tony Cai; Lawrence D. Brown
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 135 KB
- Volume
- 42
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
โฆ Synopsis
We show that for nonparametric regression if the samples have random uniform design, the wavelet method with universal thresholding can be applied directly to the samples as if they were equispaced. The resulting estimator achieves within a logarithmic factor from the minimax rate of convergence over a family of H older classes. Simulation result is also discussed.
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