Information-theoretic and Bayesian model selection for physics-based modeling: Balancing fit, complexity, and generalization

•Review information-theoretic and Bayesian criteria for model selection.•Address the trade-off between model fit, complexity, and generalization.•Investigate the sensitivity of selection criteria to influential calibration factors.•Propose a heat transfer case study with a model hierarchy of increas...

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Vydané v:	Information sciences Ročník 726; s. 122743
Hlavní autori:	Xu, Xinyue, Wang, Julian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.02.2026
Predmet:	Bayesian inference Information-theoretic criteria Model calibration Model selection Physics-based models Uncertainty quantification Uncertainty quantification Physics-based models Model calibration Bayesian inference Model selection Information-theoretic criteria
ISSN:	0020-0255
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