Reply to Robert et al.: Model criticism informs model choice and model comparison
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Title: | Reply to Robert et al.: Model criticism informs model choice and model comparison |
Author(s): | Ratmann, O Andrieu, C Wiuf, C Richardson, S |
Item Type: | Journal Article |
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. |
Publication Date: | 14-Jan-2010 |
Date of Acceptance: | 1-Jan-2010 |
URI: | http://hdl.handle.net/10044/1/52170 |
DOI: | https://dx.doi.org/10.1073/pnas.0912887107 |
ISSN: | 0027-8424 |
Publisher: | National Academy of Sciences |
Start Page: | E6 |
End Page: | E7 |
Journal / Book Title: | Proceedings of the National Academy of Sciences of the United States of America |
Volume: | 107 |
Issue: | 3 |
Copyright Statement: | © the authors |
Sponsor/Funder: | Wellcome Trust Wellcome Trust |
Funder's Grant Number: | 069962/Z/02/Z 078324/Z/05/Z |
Keywords: | stat.ME stat.ME stat.ME stat.ME MD Multidisciplinary |
Publication Status: | Published |
Open Access location: | https://arxiv.org/pdf/0912.3182v1.pdf |
Appears in Collections: | Mathematics Statistics Faculty of Natural Sciences Epidemiology, Public Health and Primary Care |