You can entertain both a limited range for your prior probability, and a limited range of likelihood functions, and use closed (compact) sets if you’re away from 0 and 1 anyway. Surely you can update down from 0.6 if you had only one prior and likelihood, and if you can do so with your hardest to update distribution with 0.6, then this will reduce the right boundary.
You can entertain both a limited range for your prior probability, and a limited range of likelihood functions, and use closed (compact) sets if you’re away from 0 and 1 anyway. Surely you can update down from 0.6 if you had only one prior and likelihood, and if you can do so with your hardest to update distribution with 0.6, then this will reduce the right boundary.