Bayesian selection of primary resolution and wavelet bias functions for wavelet regression

DOI10.1007/S00180-007-0055-YzbMath1223.62049OpenAlexW1982960604MaRDI QIDQ626208

Chun Gun Park, Hakbae Lee, Hee-Seok Oh

Publication date: 22 February 2011

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-007-0055-y

zbMATH Keywords

nonparametric regressionBayesian inferenceshrinkage

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Bayesian inference (62F15)

Related Items (2)

Efficient resolution and basis functions selection in wavelet regression ⋮ NEW SELECTION APPROACH FOR RESOLUTION AND BASIS FUNCTIONS IN WAVELET REGRESSION

Uses Software

• EBayesThresh

Cites Work

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• Nonparametric regression using Bayesian variable selection
• Bayesian inference in wavelet-based models
• Formulae for mean integrated squared error of nonlinear wavelet-based density estimators
• Empirical Bayes selection of wavelet thresholds
• Adapting to Unknown Smoothness via Wavelet Shrinkage
• A theory for multiresolution signal decomposition: the wavelet representation
• Ten Lectures on Wavelets
• Ideal spatial adaptation by wavelet shrinkage
• A Bayesian Approach to Nonparametric Bivariate Regression

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