Abstract
Exchangeability is an invariance property of probability distributions that is central to the process of specifying Bayesian statistical models. Exchangeability judgements play a role in Bayesian modelling analogous to judgments in frequentist modelling that observable quantities may be regarded as realizations of independent identically distributed (IID) random variables. Judgements of conditional exchangeability (given the values of relevant covariates), when combined with Bayesian nonparametric modelling, provide a principled and rather general approach to Bayesian model specification that can lead to well-calibrated inferences and predictions; other approaches to achieving this goal include cross-validation and Bayesian model averaging.
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Draper, D. (2018). Exchangeability. In: The New Palgrave Dictionary of Economics. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-95189-5_2822
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DOI: https://doi.org/10.1057/978-1-349-95189-5_2822
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