Learning from Social Data: Non-exchangeable Priors in the Social Sciences

Autor: Csapo, Marika Danielle

Publikováno v: Csapo, Marika Danielle. (2016). Learning from Social Data: Non-exchangeable Priors in the Social Sciences. UCLA: Statistics 0891. Retrieved from: http://www.escholarship.org/uc/item/4t1024ns

Bayesian analyses are often critiqued on the basis of dubious exchangeability claims regarding the data. Not only must observed data be exchangeable, but prior ``data'' must be as well, and the observed data must also be exchangeable with the prior d

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