NO.PZ2022123001000059
问题如下：
An analyst estimates that 20% of high-risk bonds will fail (go bankrupt). If she applies a bankruptcy prediction model, she finds that 70% of the bonds will receive a “good” rating, implying that they are less likely to fail. Of the bonds that failed, only 50% had a “good” rating. Use Bayes’ formula to predict the probability of failure given a “good” rating. (Hint, let P(A) be the probability of failure, P(B) be the probability of a “good” rating, P(B | A) be the likelihood of a “good” rating given failure, and P(A | B) be the likelihood of failure given a “good” rating.)
选项：
A.
5.7%
B.
14.3%
C.
28.6%
解释：
With Bayes’
formula, the probability of failure given a “good” rating is
where
P(A) = 0.20 =
probability of failure
P(B) = 0.70 =
probability of a “good” rating
P(B | A) = 0.50 =
probability of a “good” rating given failure
With these
estimates, the probability of failure given a “good” rating is
If
the analyst uses the bankruptcy prediction model as a guide, the probability of
failure declines from 20% to 14.3%.
能否解释？P（A｜B）怎么会=P（B｜A）/P（B） *P（A）？怎么推导出来的？
