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- Q1988242 subject Q8293925.
- Q1988242 subject Q8637055.
- Q1988242 subject Q8647003.
- Q1988242 abstract "In statistics, the Bayesian information criterion (BIC) or Schwarz criterion (also SBC, SBIC) is a criterion for model selection among a finite set of models; the model with the lowest BIC is preferred. It is based, in part, on the likelihood function and it is closely related to the Akaike information criterion (AIC).When fitting models, it is possible to increase the likelihood by adding parameters, but doing so may result in overfitting. Both BIC and AIC resolve this problem by introducing a penalty term for the number of parameters in the model; the penalty term is larger in BIC than in AIC.The BIC was developed by Gideon E. Schwarz and published in a 1978 paper, where he gave a Bayesian argument for adopting it.".
- Q1988242 wikiPageExternalLink 1207.0520.pdf.
- Q1988242 wikiPageExternalLink INFORMATIONCRIT.PDF.
- Q1988242 wikiPageExternalLink BhatKumarBIC.pdf.
- Q1988242 wikiPageWikiLink Q10861030.
- Q1988242 wikiPageWikiLink Q11348.
- Q1988242 wikiPageWikiLink Q1188504.
- Q1988242 wikiPageWikiLink Q12483.
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- Q1988242 wikiPageWikiLink Q2912993.
- Q1988242 wikiPageWikiLink Q320723.
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- Q1988242 wikiPageWikiLink Q4165283.
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- Q1988242 wikiPageWikiLink Q446488.
- Q1988242 wikiPageWikiLink Q45284.
- Q1988242 wikiPageWikiLink Q5649021.
- Q1988242 wikiPageWikiLink Q585740.
- Q1988242 wikiPageWikiLink Q6179997.
- Q1988242 wikiPageWikiLink Q6888345.
- Q1988242 wikiPageWikiLink Q812535.
- Q1988242 wikiPageWikiLink Q8293925.
- Q1988242 wikiPageWikiLink Q8637055.
- Q1988242 wikiPageWikiLink Q8647003.
- Q1988242 wikiPageWikiLink Q972431.
- Q1988242 comment "In statistics, the Bayesian information criterion (BIC) or Schwarz criterion (also SBC, SBIC) is a criterion for model selection among a finite set of models; the model with the lowest BIC is preferred. It is based, in part, on the likelihood function and it is closely related to the Akaike information criterion (AIC).When fitting models, it is possible to increase the likelihood by adding parameters, but doing so may result in overfitting.".
- Q1988242 label "Bayesian information criterion".