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A data-driven block thresholding approach to wavelet estimation
Adaptivity Besov body block thresholding James–Stein estimator nonparametric regression Stein’s unbiased risk estimate
2010/3/19
A data-driven block thresholding procedure for wavelet regression
is proposed and its theoretical and numerical properties are investigated.
The procedure empirically chooses the block size and thre...
Perfect simulation for Bayesian wavelet thresholding with correlated coefficients
Perfect simulation Bayesian wavelet thresholding correlated coefficients
2010/3/18
We introduce a new method of Bayesian wavelet shrinkage for recon-
structing a signal when we observe a noisy version. Rather than making
the usual assumption that the wavelet coecients of the sign...
Covariance regularization by thresholding
Covariance estimation regularization sparsity thresholding large p smalln high dimension low sample size
2010/3/17
This paper considers regularizing a covariance matrix of p variables
estimated from n observations, by hard thresholding. We show
that the thresholded estimate is consistent in the operator norm as
...