Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

For Bayesian Inference, the example in the Wikipedia article is good (who doesn't like cookies?): https://en.m.wikipedia.org/wiki/Bayesian_inference#Examples

When gathering more evidence, you'd use your new belief about which cookie bowl Fred has as P(H1)=0.6 and P(H2)=0.4




That just explains Bayesian inference in general, which is useful, but not what I'm after.

I was specifically interested in the application to binary search / bisection in the presence of flaky tests.


You apply the same process, but your hypotheses are "bug is before/after this bisection point". Your "probability of evidence given hypothesis before/after" are where you incorporate your guess about the tests flakiness. Still works even if you don't have "true" numbers for the tests flakiness, just won't converge as quickly




Consider applying for YC's Fall 2025 batch! Applications are open till Aug 4

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: