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Bayesian Model Selection for Diagnostics
2015Model-Based Diagnosis MBD addresses the task of isolating the most likely fault given a set of system measurements. The model used for diagnostics is critical to this isolation task, yet little work exists for specifying which type of model is best suited to MBD. We apply Bayesian model selection to identify the model that optimizes a diagnostics task,
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A Bayesian predictive approach to model selection
Journal of Statistical Planning and Inference, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gutiérrez-Peña, E., Walker, S. G.
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Bayesian selection of log‐linear models
Canadian Journal of Statistics, 1996AbstractA general methodology is presented for finding suitable Poisson log‐linear models with applications to multiway contingency tables. Mixtures of multivariate normal distributions are used to model prior opinion when a subset of the regression vector is believed to be nonzero.
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Bayesian Model Selection for the Validation of Computer Codes
Quality and Reliability Engineering International, 2016Complex physical systems are increasingly modeled by computer codes which aim at predicting the reality as accurately as possible. During the last decade, code validation has benefited from a large interest within the scientific community because of the requirement to assess the uncertainty affecting the code outputs.
Damblin, Guillaume +4 more
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Bayesian Model Averaging as an Alternative to Model Selection for Multilevel Models
Multivariate Behavioral Research, 2021Sarah Depaoli, Keke Lai
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Bayesian model averaging in longitudinal studies using Bayesian variable selection methods
Communications in Statistics Part B: Simulation and Computation, 2023Belay B Yimer +2 more
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On Sampling Strategies in Bayesian Variable Selection Problems With Large Model Spaces
Journal of the American Statistical Association, 2013Miguel A Martinez-Beneito +1 more
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