# Duality between Approximate Bayesian Methods and Prior Robustness

@article{Joshi2020DualityBA, title={Duality between Approximate Bayesian Methods and Prior Robustness}, author={Chaitanya Joshi and F. Ruggeri}, journal={arXiv: Methodology}, year={2020} }

In this paper we show that there is a link between approximate Bayesian methods and prior robustness. We show that what is typically recognized as an approximation to the likelihood, either due to the simulated data as in the Approximate Bayesian Computation (ABC) methods or due to the functional approximation to the likelihood, can instead also be viewed upon as an implicit exercise in prior robustness. We first define two new classes of priors for the cases where the sufficient statistics is… Expand

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