more from Paul Thagard

### Single Idea 17600

#### [catalogued under 14. Science / C. Induction / 6. Bayes's Theorem]

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]**