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- W202353138 abstract "Multi-resolution analysis is used here to derive a wavelet smoother as an estimated regression function for a given set of noisy data. The hierarchical Bayesian approach is employed to model the regression function using a wavelet basis and to perform the subsequent estimations. The Bayesian model selection tool of Bayes factor is used to select the optimal resolution level of the multi-resolution analysis. Error bands are provided as an index of estimation error. The methodology is illustrated with two examples and a simulation study." @default.
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- W202353138 date "2016-01-01" @default.
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- W202353138 title "BAYESIAN NONPARAMETRIC REGRESSION USING WAVELETS" @default.
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