The “disorder” problem for a Poisson process

The paper considers a Bayesian problem of detecting the “disorder” for the process $\xi(t)$.
It is shown (Theorem 1) that the optimal decision rule minimizing the risk (1) is the first time at which the a posteriori probability $\pi_t$ enters the set $[\lambda/(\lambda+c),1]$.