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Showing 1 to 3 of 3 for “"Stein's unbiased risk"”.

  1. Wavelet Thresholding for Non (Necessarily) Gaussian Noise

    … coefficients. <br>In the second approach the risk of an estimator is compared to the risk of <br>an ``ideal'' estimator. This ``estimator'' is ``ideal'' because it has some <br>knowledge of the wavelet coefficients of the function to estimate, so it is <br>not really an estimator. <br>The …

    freiburg-diss Repository record for Wavelet Thresholding for Non (Necessarily) Gaussian Noise (opens in a new tab)

  2. l0 Sparse signal processing and model selection with applications

    … commonly used model selection methods, the SURE (Stein's unbiased risk estimator) estimator stands out as one which does not suffer from the limitations of other methods. Most model selection criterion are developed based on signal or prediction mean squared error. The last section of this thesis …

    unsw Repository record for l0 Sparse signal processing and model selection with applications (opens in a new tab)

  3. Simultaneous estimation approaches to large-scale multivariate regression

    Large-scale multivariate regression has various applications in machine learning fields, especially in image recognition, gene expression prediction and multivariate time series prediction. Numerous approaches have been developed to solve this problem. Some popular statistical methods are group …

    uiuc Repository record for Simultaneous estimation approaches to large-scale multivariate regression (opens in a new tab)