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SPARK: A General Goodness-of-Fit Assessment via Residual Projection

Liu, Xingwei et al.
arXiv (All) · Papers
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62g10machine-learningmethodologystatistics-theory
Goodness-of-fit testing is a basic tool for assessing whether a fitted procedure has captured the systematic information contained in the covariates. While traditional theory has largely focused on parametric regression models, modern data analysis increasingly relies on flexible black-box learners,
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