abstract
we study the problem of detecting a drift change of a brownian motion under
various extensions of the classical case. specifically, we consider the case of a random
post-change drift and examine monotonicity properties of the solution with respect
to different model parameters. moreover, robustness properties – effects of misspecification of the underlying model – are explored.