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A confidence interval is an interval that covers an unknown parameter with $100(1-\alpha)\%$ confidence. Confidence intervals are a frequentist concept. They are often confused with credible intervals which is the Bayesian analog.
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How should I calculate a confidence interval for a gap-filled data set?
I have a data set of half hourly CO2 and CH4 fluxes (emission/uptake) from a landscape along with a set of environmental variables (Photon flux density (PPFD), temperature etc.).
I'm using Neural Net …