Occam’s window

E2017487 UNEXPLORED

Occam’s window is a model selection technique in Bayesian statistics that restricts attention to a subset of plausible models by discarding those with substantially lower posterior support.

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All labels observed (1)

Label	Occurrences
Occam’s window canonical	1

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

Bayesian model averaging → canUseApproximation → Occam’s window ⓘ