Asymptotically $d$-optimal test of a posteriori change-point detection

We consider the problem of a posteriori change-point detection for a sequence of independent identically distributed random variables. We propose to use $d$-risks instead of error of the first type and error of the second type. We construct an asymptotically optimal test minimizing one $d$-risk and guaranteeing another.