Abstract
We derive the best posterior linear prevision of a claim with collateral data through a fully Bayesian Θ-free approach. This approach is—under some hypotheses—equivalent to the usual parametric Bayesian one, thanks to de Finetti's theorem for partially exchangeable sequences.

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