Upgrading Model Selection Criteria with Goodness of Fit Tests for Practical Applications
The Bayesian information criterion (BIC), the Akaike information criterion (AIC), and some other indicators derived from them are widely used for model selection. In their original form, they contain the likelihood of the data given the models. Unfortunately, in many applications, it is practically...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2020-04-01
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| Schriftenreihe: | Entropy |
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| Online-Zugang: | https://www.mdpi.com/1099-4300/22/4/447 |
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