An optimal strategy for sequential classification on partially ordered sets

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.

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Year of publication:	2004
Authors:	Ferguson, S. ; Thomas, T. ; Tatsuoka, Curtis
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 68.2004, 2, p. 161-168
Publisher:	Elsevier
Keywords:	Sequential selection of experiment Group testing Cognitively diagnostic educational testing Decision theory

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005259138