Iterative Selection with Bayesian Inference

Apply Bayes' theorem to update the probability that a lingerie style is a 'good fit' for a model, using a prior belief and new evidence from a test shot.

Distinguish between P(Style Suits | Evidence) and P(Evidence | Style Suits) in the context of a fitting room tryout.

Calculate the positive predictive value and false positive rate for a lingerie screening process, given an imbalanced dataset where 'winning' styles are rare.

Perform iterative Bayesian updating by using the posterior probability from one tryout as the prior for the next, refining the belief about the best style.

Solve a numerical problem: given prior probabilities for three bra styles and new evidence from a fitting session, rank the styles by their posterior probabilities.