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Also appears in collection : Jean-Morlet chair: Masterclass in Bayesian statistics / Chaire Jean-Morlet : École de statistique bayésienne

The tutorial covers cross-validation, and projection predictive approaches for model assessment, selection and inference after model selection and Bayesian stacking for model averaging. The talk is accompanied with R notebooks using rstanarm, bayesplot, loo, and projpred packages.

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Citation data

  • DOI 10.24350/CIRM.V.19468803
  • Cite this video Vehtari Aki (10/26/18). Model assessment, selection and averaging. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19468803
  • URL https://dx.doi.org/10.24350/CIRM.V.19468803

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