Multi-dimensional sequential testing and detection

We study extensions to higher dimensions of the classical Bayesian sequential testing and detection problems for Brownian motion. In main result, we show that, a large class problem formulations, cost function is unilaterally concave. This concavity result then used deduce structural properties continuation stopping regions in specific examples.