Block Thresholding for Density Estimation: Local and Global Adaptivity
J. Multivariate Analysis 95, 76-106, (2005).Eric Chicken and Tony Cai
- Abstract: We consider wavelet block thresholding method for density estimation. A block-thresholded density estimator is proposed and is shown to achieve optimal global rate of convergence over Besov spaces and simultaneously attain the optimal adaptive pointwise convergence rate as well. These results are obtained in part through the determination of an optimal block length.
- Paper: pdf file.
- Other related papers:
Cai, T. (1999).
Adaptive wavelet estimation: a block thresholding and oracle inequality approach.
The Annals of Statistics 27, 898-924.Cai, T. & Silverman, B.W. (2001).
Incorporating information on neighboring coefficients into wavelet estimation.
Sankhya 63, 127-148.Cai, T., Zhang, D. & Ben-Amotz, D. (2001).
Enhanced chemical classification of Raman images using wavelet transformation.
Applied Spectroscopy 55, 1124-1130.Cai, T. (2002).
On block thresholding in wavelet regression: Adaptivity, block size, and threshold level.
Statistica Sinica 12, 1241-1273.Cai, T. (2002).
On adaptive wavelet estimation of a derivative and other related linear inverse problems.
J. Statistical Planning and Inference 108, 329-349.Cai, T. & Low, M. (2005).
Nonparametric function estimation over shrinking neighborhoods: Superefficiency and adaptation.
The Annals of Statistics 33, 184-213.