Full Idea
It is well known that the general problem with Bayesian inference is that it is computationally intractable, so the algorithms used for computing posterior probabilities have to be approximations.
Gist of Idea
Bayesian inference is forced to rely on approximations
Source
Paul Thagard (Coherence: The Price is Right [2012], p.45)
Book Reference
-: 'Southern Journal of Philosophy' [-], p.45
A Reaction
Thagard makes this sound devastating, but then concedes that all theories have to rely on approximations, so I haven't quite grasped this idea. He gives references.
Related Idea
Idea 17599 The best theory has the highest subjective (Bayesian) probability? [Thagard]