(ML 11.4) Choosing a decision rule - Bayesian and frequentist

Choosing a decision rule, from Bayesian and frequentist perspectives. To make the problem well-defined from the frequentist perspective, some additional guiding principle is introduced such as unbiasedness, minimax, or invariance.

[@jiatianxu757]

Case 2 makes me confused. If we don't know D, for me, it means that I can only sit there can guess or do a day-dreaming.

[@lukafree]

fantastic.....!!! thank you very much!