Abstract
We present an overview of data smoothing techniques via Tikhonov regularization. The material is taken from the statistical literature and reflects the modern statistical thinking on the subject. Main topics covered include model construction, cross-validation, computation and data analytical tools. © 2008 IOP Publishing Ltd.
Cite
CITATION STYLE
APA
Gu, C. (2008). Smoothing noisy data via regularization: Statistical perspectives. Inverse Problems, 24(3). https://doi.org/10.1088/0266-5611/24/3/034002
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