FMMT estimates model-reality discrepancies via kernel ridge regression then performs frequency-domain hypothesis tests with closed-form p-values from asymptotic normality of weighted Fourier coefficients.
(2020) and the references therein) ∥ˆfn−f∥L2 =o P(1)(17) ∥ˆfn∥H =O P(1).(18) Combining eq
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Statistical Validation of Computer Models: Global and Subdomain Hypothesis Testing
FMMT estimates model-reality discrepancies via kernel ridge regression then performs frequency-domain hypothesis tests with closed-form p-values from asymptotic normality of weighted Fourier coefficients.