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Lack of confidence in approximate Bayesian computation model choice
Christian P. Robert, Jean-Marie Cornuet, Jean-Michel Marin et al., 2011. Proceedings of the National Academy of Sciences.
Shows that model choice by approximate Bayesian computation can be unreliable when the summary statistics are not sufficient.
What it's used for here
The procedure-fingerprinting survey cites it as a caution for simulation-based model choice on summary statistics.
Cited by on this site 1 record
1 methods surveys
SRCEncoding procedures
Cite it
Robert, C. P., Cornuet, J. M., Marin, J. M., & Pillai, N. S. (2011). Lack of confidence in approximate Bayesian computation model choice. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1102900108
@article{robert2011lack,
author = {Robert, Christian P. and Cornuet, Jean-Marie and Marin, Jean-Michel and Pillai, Natesh S.},
title = {Lack of confidence in approximate Bayesian computation model choice},
journal = {Proceedings of the National Academy of Sciences},
year = {2011},
doi = {10.1073/pnas.1102900108},
url = {https://doi.org/10.1073/pnas.1102900108}
}TY - JOUR TI - Lack of confidence in approximate Bayesian computation model choice AU - Robert, Christian P. AU - Cornuet, Jean-Marie AU - Marin, Jean-Michel AU - Pillai, Natesh S. PY - 2011 JO - Proceedings of the National Academy of Sciences DO - 10.1073/pnas.1102900108 UR - https://doi.org/10.1073/pnas.1102900108 ER -
Robert, Christian P. et al.. “Lack of confidence in approximate Bayesian computation model choice.” Proceedings of the National Academy of Sciences (2011). https://doi.org/10.1073/pnas.1102900108.