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- Bayesian_information_criterion 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. 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, who gave a Bayesian argument for adopting it. Akaike was so impressed with Schwarz's Bayesian formalism that he developed his own Bayesian formalism, now often referred to as the ABIC for "a Bayesian Information Criterion" or more casually "Akaike's Bayesian Information Criterion".".
- Bayesian_information_criterion wikiPageExternalLink 0701113v2.pdf.
- Bayesian_information_criterion wikiPageExternalLink 1207.0520.pdf.
- Bayesian_information_criterion wikiPageExternalLink INFORMATIONCRIT.PDF.
- Bayesian_information_criterion wikiPageExternalLink BhatKumarBIC.pdf.
- Bayesian_information_criterion wikiPageID "2473272".
- Bayesian_information_criterion wikiPageRevisionID "603449555".
- Bayesian_information_criterion hasPhotoCollection Bayesian_information_criterion.
- Bayesian_information_criterion subject Category:Bayesian_inference.
- Bayesian_information_criterion subject Category:Model_selection.
- Bayesian_information_criterion subject Category:Regression_variable_selection.
- Bayesian_information_criterion 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. 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.".
- Bayesian_information_criterion label "Bayesian information criterion".
- Bayesian_information_criterion label "Criterio de información bayesiano".
- Bayesian_information_criterion label "Criterio di informazione Bayesiano".
- Bayesian_information_criterion label "Critère d'information bayésien".
- Bayesian_information_criterion label "ベイズ情報量規準".
- Bayesian_information_criterion sameAs Criterio_de_información_bayesiano.
- Bayesian_information_criterion sameAs Critère_d'information_bayésien.
- Bayesian_information_criterion sameAs Criterio_di_informazione_Bayesiano.
- Bayesian_information_criterion sameAs ベイズ情報量規準.
- Bayesian_information_criterion sameAs m.07ggzf.
- Bayesian_information_criterion sameAs Q1988242.
- Bayesian_information_criterion sameAs Q1988242.
- Bayesian_information_criterion wasDerivedFrom Bayesian_information_criterion?oldid=603449555.
- Bayesian_information_criterion isPrimaryTopicOf Bayesian_information_criterion.