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Estimator of prediction error based on approximate message passing for penalized linear regression
Work
Year: 2018
Type: article
Abstract: We propose an estimator of prediction error using an approximate message passing (AMP) algorithm that can be applied to a broad range of sparse penalties. Following Stein's lemma, the estimator of the... more
Cites: 27
Cited by: 3
Related to: 10
FWCI: 0.177
Citation percentile (by year/subfield): 54.67
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Open Access status: hybrid