Bayesian Probability

Created by Simulacra at 4y

The difference is more apparent when discussing ideas. A frequentist will not assign probability to an idea,idea; either it is true or false and it cannot be true 6 times out of 10.

External links

  • BIPS: Bayesian Inference for the Physical Sciences

An event1 with Bayesian probability of .6 (or 60%) should be interpreted as stating "With confidence 60%, this event contains the true outcome", whereas a frequentist interpretation would view it as stating "Over 100 trials, we should observe event X approximately 60 times."

Footnotes


  1. Wikipedia:Event (probability theory)

Footnotes

See Alsoalso

ReferencesBlog posts

Footnotes
Overcoming Bias Articles
Less Wrong Articles