Sequential Testing for Simple Hypotheses for Processes Driven by Fractional Brownian Motion

摘要

We prove the existence of an optimal sequential-test procedure for a simple null hypothesis that the observed process is a noise modeled by a fractional Brownian motion against the simple alternate hypothesis that the observed process is the sum of an unobserved signal and the noise.