smooth.OMG.coefbootstrap

OMG.coefbootstrap(nsim=1000, size=None, replace=False, prob=None, parallel=False, method='cr', seed=None, verbose=False)

Bootstrap the joint OMG coefficient sampling distribution.

Mirrors R’s coefbootstrap.omg (R/omg.R:1401-1600): case-resamples the raw input series, refits the joint OMG on each replicate, and stacks the prefixed A: / B: coefficient vectors.

parallel=True (or parallel=<int>) runs replicates in parallel via joblib.Parallel (cpu_count - 1 workers by default, or the supplied integer). Requires the optional joblib dependency; if unavailable, a warning is emitted and the call falls back to serial. See smooth.adam_general.core.adam.ADAM.coefbootstrap() for the full parameter documentation; the OMG version takes the same signature and returns the same BootstrapResult.

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Parent Class: OMG