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Sparse model selection under heterogeneous noise: exact penalisation and data-driven thresholding - MaRDI portal

Sparse model selection under heterogeneous noise: exact penalisation and data-driven thresholding (Q2447094)

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Sparse model selection under heterogeneous noise: exact penalisation and data-driven thresholding
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    Sparse model selection under heterogeneous noise: exact penalisation and data-driven thresholding (English)
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    24 April 2014
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    sparse oracle inequality
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    optimal threshold
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    statistical inverse problem
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    risk hull
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    penalized empirical risk
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    full subset selection
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    heteroskedastic noise
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