頁籤選單縮合
題名 | Wavelet Estimation Using Bayesian Basis Selection and Basis Averaging= |
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作者 | Kohn,Robert; Marron,J. S.; Yau,Paul; |
期刊 | Statistica Sinica |
出版日期 | 20000100 |
卷期 | 10:1 2000.01[民89.01] |
頁次 | 頁109-128 |
分類號 | 319.51 |
語文 | eng |
關鍵詞 | 傳里葉級數; 非參數式迴歸; Empirical bayes; Fourier series; Nonparametric regression; |
英文摘要 | Wavelet shrinkage methods are widely recognized as a useful tool for nonparametric regression and signal recovery, while Bayesian approaches to choosing the shrinkage method in wavelet smoothing are known to be effective. In this paper we extend the Bayesian methodology to include choice among wavelet bases (and the Fourier basis), and averaging of the regression function estimates over different bases. This results in improved function estimates. |
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