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Showing 1 to 2 of 2 for “"Thresholding estimator"”.
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Wavelet Thresholding for Non (Necessarily) Gaussian Noise
… and for this class <br>the minimax properties of estimators are investigated. This approach is <br>facilitated by the fact that some smoothness spaces can naturally be <br>described by norms of sequences of wavelet coefficients. <br>In the second approach the risk of an estimator is compared to …
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A concentration inequality based statistical methodology for inference on covariance matrices and operators
In the modern era of high and infinite dimensional data, classical statistical methodology is often rendered inefficient and ineffective when confronted with such big data problems as arise in genomics, medical imaging, speech analysis, and many other areas of research. Many problems manifest when …