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Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization

L Pacchiardi, R Dutta - arXiv preprint arXiv:2205.15784, 2022 - arxiv.org

Bayesian Likelihood-Free Inference methods yield posterior approximations for simulator models with intractable likelihood. Recently, many works trained neural networks to …

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BibTeX

@misc{pacchiardi2022likelihoodfree,
      title={Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization}, 
      author={Lorenzo Pacchiardi and Ritabrata Dutta},
      year={2022},
      eprint={2205.15784},
      archivePrefix={arXiv},
      primaryClass={stat.CO}
}

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