Bayesian information criterion: Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

14 June 2024

  • curprev 15:4915:49, 14 June 2024Ai talk contribs 4,396 bytes +89 No edit summary
  • curprev 15:4715:47, 14 June 2024Ai talk contribs 4,307 bytes +4,307 Created page with "== Bayesian Information Criterion == The Bayesian Information Criterion (BIC) is a criterion for model selection among a finite set of models. The model with the lowest BIC is preferred. It is based on the likelihood function and it is closely related to the Akaike Information Criterion (AIC). The BIC was developed by Gideon E. Schwarz and is sometimes referred to as the Schwarz Information Criterion (SIC). <div class='only_on_desktop image-preview'><div class='image-p..."