arXiv · 0912.3182
Notes to Robert et al.: Model criticism informs model choice and model comparison
Abstract
In their letter to PNAS and a comprehensive set of notes on arXiv [arXiv:0909.5673v2], Christian Robert, Kerrie Mengersen and Carla Chen (RMC) represent our approach to model criticism in situations when the likelihood cannot be computed as a way to "contrast several models with each other". In addition, RMC argue that model assessment with Approximate Bayesian Computation under model uncertainty (ABCmu) is unduly challenging and question its Bayesian foundations. We disagree, and clarify that ABCmu is a probabilistically sound and powerful too for criticizing a model against aspects of the observed data, and discuss further the utility of ABCmu.
Explore related subjects
Keep this discovery
Oliver Ratmann, Christophe Andrieu, Carsten Wiuf, Sylvia Richardson. 2009-12-16. Notes to Robert et al.: Model criticism informs model choice and model comparison. https://doi.org/10.1073/pnas.0912887107
Cite the original work for its findings. Save a collection to share your selection of sources.