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