Prior selection

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Prior selection is a necessary part of Bayesian reasoning: one must pick a -:prior before doing Bayesian updates. There are no widely-satisfactory solutions to this problem, i.e. there is no good, principled way of choosing priors.

Contents

[edit] Criteria for Selecting Priors

[edit] Principle of Indifference

[edit] Invariance under Goodman's Grue transformations

One simple solution is to simply give a uniform distribution over all events that have been conceptualized. The problem with this is that if we rename the entities, the resulting prior changes.

According to Kevin T Kelly, this is an attempt to get a free lunch, and will always be incoherent.


[edit] The Solomonoff Prior

Solomonoff's idea was to make simpler priors more likely.

Problems:

  • arbitrary distortion are necessary to make the prior a pdf, i.e. to make its integral converge.
  • choice of -:Turing Machine is arbitrary (up to a constant, but still arbitrary).


[edit] Bayesian

One bad argument against Bayesianism in the Bayesianism vs Frequentism debate is that Bayesians have no principles for choosing priors. -:E.T. Jaynes, however, showed that frequentism suffers from the exact same problem in a less explicit form.


[edit] Empirical science of science

Prior selection methods can also be evaluated empirically.


[edit] See Also

Model selection Occam's Razor Bayesianism and rationality


[edit] Sources to Check

Peter Grünwald's class on MDL



[edit] To include

"Prior Selection" is sometimes cited as a philosophical problem with Bayesianism. Some reasoners (e.g. economists in the Austrian tradition) may refuse to choose a prior by claiming "radical ignorance", and they argue that picking any prior would be an ad-hoc decision.

E.T. Jaynes has shown that frequentism suffers from the same problem, under the guise of model selection.

Some ways of picking a prior:

  • Empirical Prior, Meta-Scientific Experiments (best, but impractical)
  • Solomonoff Prior (better but incomputable)
  • Maximum Entropy Principle
  • Schmidhuber's Speed Prior (computable approximation to Solomonoff's M?)


Some desirable criteria for induction methods: Goodman's Grue and Language Invariance


references: Kevin Kelly J.B. Paris - The Uncertain Reasoners' Companion

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