Sequential Classification on Partially Ordered Sets
نویسندگان
چکیده
A general theorem on asymptotically optimal sequential selection of experiments is presented and applied to a Bayesian classification problem when the parameter space is a finite partially ordered set. The main results include establishing conditions under which the posterior probability of the true state converges to one almost surely, and determining optimal rates of convergence. Properties of various classes of experiment selection rules are explored.
منابع مشابه
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