🔬 Discovery

Bayesian information criterion

Criterio de información bayesiano

Date
1978 · confidence medium
Place
Jerusalem, Israel
Credited to
Gideon E. Schwarz
Field
Knowledge & symbols

What was discovered

A statistical criterion for comparing models that penalizes the number of parameters more heavily than the Akaike information criterion, derived by Gideon Schwarz from a Bayesian approximation to the likelihood.

What it led to

  • Model selection in statistics and machine learning
  • Systematic comparison with the Akaike information criterion
  • Widespread use in genetics, economics, and ecology
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Sources✓ verified 2026-09-28