This work deals with a general problem of testing multiple hypotheses about the distribution of a discrete-time stochastic process. Both the Bayesian and the conditional settings are considered. The structure of optimal sequential tests is characterized.
sequential analysis, hypothesis testing, multiple hypotheses, discrete-time stochastic process, dependent observations, optimal sequential test, Bayes sequential test
62L10, 62L15, 60G40, 62C10