Wavelet designs for estimating nonparametric curves with heteroscedastic error
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Publication:1410289
DOI10.1016/S0378-3758(02)00370-1zbMath1021.62055OpenAlexW1977899969MaRDI QIDQ1410289
Publication date: 14 October 2003
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0378-3758(02)00370-1
relative efficiencyweighted least squaresDaubechies waveletminimum variance unbiasedminimax robustmultiwavelet system
Density estimation (62G07) Nonparametric robustness (62G35) Optimal statistical designs (62K05) Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40)
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Cites Work
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- Optimal Bayesian experimental design for linear models
- Optimal designs for nonparametric kernel regression
- Optimal designs for regression models with possible bias
- Optimal robust designs: Linear regression in \(R^ k\).
- Minimax designs for approximately linear regression
- Asymptotic Bayes criteria for nonparametric response surface design
- Wavelets, approximation, and statistical applications
- Admissibility and minimaxity of the uniform design measure in nonparametric regression model
- Wavelet decomposition approaches to statistical inverse problems
- Ten Lectures on Wavelets
- Optimal design for estimation of variance in nonparametric regression using first order differences
- An optimal experimental design for the haar regression model
- Ideal spatial adaptation by wavelet shrinkage
- Wavelet Methods for Curve Estimation
- Robust designs for wavelet approximations of regression models
- A Basis for the Selection of a Response Surface Design
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