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What is Understanding Model Uncertainty in Statistics about?

This article introduces model uncertainty and reviews frequentist and Bayesian approaches to model selection, stemming from a workshop held in Groningen in 2011. It highlights the ongoing philosophical debates and the lack of consensus in the field, while discussing the evolution of model selection methods over the past 40 years. Key concepts such as Akaike

Author

ilyas.stats

Language

EN