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An adaptive sequential design for model discrimination and parameter estimation in non-linear nested models

Research output: Contribution to journalConference articlepeer-review

Abstract

The DKL-optimality criterion has been recently proposed for the dual problem of model discrimination and parameter estimation, for the case of two rival models. A sequential version of the DKL-optimality criterion is herein proposed in order to discriminate and efficiently estimate more than two nested non-linear models. Our sequential method is inspired by the procedure of Biswas and Chaudhuri (2002), which is however useful only in the set up of nested linear models.

Original languageEnglish
Pages (from-to)1917-1920
Number of pages4
JournalAIP Conference Proceedings
Volume1281
DOIs
Publication statusPublished - 2010
EventInternational Conference on Numerical Analysis and Applied Mathematics 2010, ICNAAM-2010 - Rhodes, Greece
Duration: 19 Sept 201025 Sept 2010

Keywords

  • Adaptive sequential design
  • D-optimality
  • DKL-optimality
  • KL-optimality

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