Question

what is the general Bayesian model general equation

Answer 1

Answer :

• Bayesian infers the back likelihood as a result of two forerunners: an earlier likelihood and a "probability work" got from a measurable model for the watched information.
• Bayesian surmising figures the back likelihood as indicated by Bayes' hypothesis
• Bayes' recipe is an imperative strategy for figuring restrictive probabilities. Usually used to figure back probabilities (rather than probabilities) given perceptions.
• For instance, a patient is seen to have a specific manifestation, and Bayes' recipe can be utilized to register the likelihood that a finding is right, given that perception.

Convert into the language of likelihood, let B = "the lady has bosom malignancy" and A = "a positive test". We wish to figure P(B|A). Like what we did last time, we have