A general framework for updating belief distributions

<p>We propose a framework for general Bayesian inference. We argue that a valid update of a prior belief distribution to a posterior can be made for parameters which are connected to observations through a loss function rather than the traditional likelihood function, which is recovered as a s...

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Autors principals: Holmes, C, Bissiri, P, Walker, S
Format: Journal article
Publicat: Wiley 2015

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