Imperial College London
Alternate

DrOliverRatmann

Faculty of Natural Sciences, Department of Mathematics

Reader in Statistics and Machine Learning for Public Good
 
 
 
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Contact

 

oliver.ratmann05 Website

 
 
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Location

 

525Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ratmann:2010:10.1073/pnas.0912887107,
author = {Ratmann, O and Andrieu, C and Wiuf, C and Richardson, S},
doi = {10.1073/pnas.0912887107},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
pages = {E6--E7},
title = {Reply to Robert et al.: Model criticism informs model choice and model comparison},
url = {http://dx.doi.org/10.1073/pnas.0912887107},
volume = {107},
year = {2010}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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 likelihoodcannot be computed as a way to "contrast several models with each other". Inaddition, RMC argue that model assessment with Approximate Bayesian Computationunder model uncertainty (ABCmu) is unduly challenging and question its Bayesianfoundations. We disagree, and clarify that ABCmu is a probabilistically soundand powerful too for criticizing a model against aspects of the observed data,and discuss further the utility of ABCmu.
AU  - Ratmann,O
AU  - Andrieu,C
AU  - Wiuf,C
AU  - Richardson,S
DO  - 10.1073/pnas.0912887107
EP  - 7
PY  - 2010///
SN  - 0027-8424
SP  - 6
TI  - Reply to Robert et al.: Model criticism informs model choice and model comparison
T2  - Proceedings of the National Academy of Sciences of the United States of America
UR  - http://dx.doi.org/10.1073/pnas.0912887107
UR  - http://arxiv.org/abs/0912.3182v1
UR  - http://hdl.handle.net/10044/1/109461
VL  - 107
ER  -
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