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math.ST2013★ 290 cited
A General Framework for Updating Belief Distributions
Pier Giovanni Bissiri, Chris Holmes, Stephen Walker
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…
math.ST2009★ 6 cited
On Bayesian learning from Bernoulli observations
Pier Giovanni Bissiri, Stephen G. Walker
We provide a reason for Bayesian updating, in the Bernoulli case, even when it is assumed that observations are independent and identically distributed with a fixed but unknown par…