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Generalized Posteriors in Approximate Bayesian Computation

SM Schmon, PW Cannon, J Knoblauch - arXiv preprint arXiv:2011.08644, 2020 - arxiv.org
Statistics paper stat.ME Suggest
… Formulating simulation-based inference as a latent variable model as we propose in (2) might suggest that the aim of abc lies in an accurate modelling of the error distribution g(y x), ie …
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BibTeX

@misc{schmon2021generalizedposteriorsapproximatebayesian,
title={Generalized Posteriors in Approximate Bayesian Computation},
author={Sebastian M Schmon and Patrick W Cannon and Jeremias Knoblauch},
year={2021},
eprint={2011.08644},
archivePrefix={arXiv},
primaryClass={stat.ME},
url={https//arxiv.org/abs/2011.08644},
}

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