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D-optimal plans in observational studies

Author

Listed:
  • Pumplün, Constanze
  • Rüping, Stefan
  • Morik, Katharina
  • Weihs, Claus

Abstract

This paper investigates the use of Design of Experiments in observational studies in order to select informative observations and features for classification. D-optimal plans are searched for in existing data and based on these plans the variables most relevant for classification are determined. The adapted models are then compared with respect to their predictive accuracy on an independent test sample. Eight different data sets are investigated by this method.

Suggested Citation

  • Pumplün, Constanze & Rüping, Stefan & Morik, Katharina & Weihs, Claus, 2005. "D-optimal plans in observational studies," Technical Reports 2005,44, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200544
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    File URL: https://www.econstor.eu/bitstream/10419/22637/1/tr44-05.pdf
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    Cited by:

    1. Rüping, Stefan & Weihs, Claus, 2009. "Kernelized design of experiments," Technical Reports 2009,02, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

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