Notes to Robert et al.: Model criticism informs model choice and model comparison

Details Notes to Robert et al.: Model criticism informs model choice and model comparison Notes to Robert et al.: Model criticism informs model choice and model comparison

2009-12-16

arxiv.org/abs/0912.3182v1

Statistics

Methodology

Reply to [arXiv:0909.5673v2]

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Notes to Robert et al.: Model criticism informs model choice and model comparison does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Notes to Robert et al.: Model criticism informs model choice and model comparison, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Notes to Robert et al.: Model criticism informs model choice and model comparison will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-49320