Iterative generalized cross-validation for fusing heteroscedastic data of inverse ill-posed problems
نویسندگان
چکیده
منابع مشابه
Iterative generalized cross-validation for fusing heteroscedastic data of inverse ill-posed problems
S U M M A R Y The method of generalized cross-validation (GCV) has been widely used to determine the regularization parameter, because the criterion minimizes the average predicted residuals of measured data and depends solely on data. The data-driven advantage is valid only if the variance–covariance matrix of the data can be represented as the product of a given positive definite matrix and a...
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ژورنال
عنوان ژورنال: Geophysical Journal International
سال: 2009
ISSN: 0956-540X,1365-246X
DOI: 10.1111/j.1365-246x.2009.04280.x