An optimal strategy for sequential classification on partially ordered sets

T.Thomas S. Ferguson and Curtis Tatsuoka

Statistics & Probability Letters, 2004, vol. 68, issue 2, 161-168

Abstract: A decision-theoretic framework is described for sequential classification when the parameter space is a finite partially ordered set. An example of an optimal strategy is then presented. This example establishes that an asymptotically optimal class of experiment selection rules is not necessarily optimal in the given decision-theoretic setting.

Keywords: Sequential; selection; of; experiment; Group; testing; Cognitively; diagnostic; educational; testing; Decision; theory (search for similar items in EconPapers)
Date: 2004
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