We consider the problem of jointly testing multiple hypotheses and estimating a random parameter underlying distribution. This is investigated in sequential setup under mild assumptions on process. The optimal method minimizes expected number samples while ensuring that average detection/estimation errors do not exceed certain level. After converting constrained to an unconstrained one, we char...