Block thresholding wavelet regression using SCAD penalty
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Publication:974520
DOI10.1016/J.JSPI.2010.03.035zbMath1188.62150OpenAlexW2034842423MaRDI QIDQ974520
Publication date: 3 June 2010
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2010.03.035
convergence ratesBesov spaceblock thresholdingsmoothly clipped absolute deviation penaltywavelet regression
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Numerical methods for wavelets (65T60)
Related Items (2)
Nonparametric regression estimates with censored data based on block thresholding method ⋮ Minimax wavelet estimation for multisample heteroscedastic nonparametric regression
Cites Work
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- A data-driven block thresholding approach to wavelet estimation
- Estimation of the mean of a multivariate normal distribution
- Wavelet regression for random or irregular design.
- Minimax risk over \(l_ p\)-balls for \(l_ q\)-error
- Block thresholding and wavelet estimation for nonequispaced samples
- Adaptive wavelet estimation: A block thresholding and oracle inequality approach
- On non-equally spaced wavelet regression
- Minimax estimation via wavelet shrinkage
- Variable selection for Cox's proportional hazards model and frailty model
- Wavelet estimation of a regression function with a sharp change point in a random design
- Estimation of a regression function with a sharp change point using boundary wavelets
- Better Subset Regression Using the Nonnegative Garrote
- Adapting to Unknown Smoothness via Wavelet Shrinkage
- Interpolation of Besov Spaces
- Ten Lectures on Wavelets
- Ideal spatial adaptation by wavelet shrinkage
- Regularization of Wavelet Approximations
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
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