Regularization parameter selection in indirect regression by residual based bootstrap

arXiv: Methodology, (2016)

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Abstract:

Residual-based analysis is generally considered a cornerstone of statistical methodology. For a special case of indirect regression, we investigate the residual-based empirical distribution function and provide a uniform expansion of this estimator, which is also shown to be asymptotically most precise. This investigation naturally leads ...More

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