# The role of exchangeability in causal inference

@article{Saarela2020TheRO, title={The role of exchangeability in causal inference}, author={Olli Saarela and David A. Stephens and Erica E. M. Moodie}, journal={arXiv: Methodology}, year={2020} }

The notion of exchangeability has been recognized in the causal inference literature in various guises, but only rarely in the original Bayesian meaning as a symmetry property between individual units in statistical inference. Since the latter is a standard ingredient in Bayesian inference, we argue that in Bayesian causal inference it is natural to link the causal model, including the notion of confounding and definition of causal contrasts of interest, to the concept of exchangeability. Here…

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