Neyman-Pearson Criterion

I want to minimize the error of one class, but keep the error of the other class fixed.

To do this, we need to use the Langragian

where is the decision region of class . Then we want to set .

I have no idea what’s going on afterwards in solving for . Maybe one day I can revisit this when it is clearer.