Exploratory modelling analysis: visualizing the value of variables

  • Antony Unwin
Conference paper


Many models may fit the same dataset almost equally well. Some variables may be included in all these models, some variables may be exchangeable, some may only appear in a few models. This talk discusses ways of visualizing and assessing the contribution variables make to individual models and the contribution they make to model ensembles.

Key words

Visualization modelling variable selection 


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  1. [FW74]
    G. Furnival and R. Wilson, Regression by leaps and bounds, Technometrics 16 (1974), 499–511.MATHCrossRefGoogle Scholar
  2. [Har01]
    F.E. Harrell, Regression modeling strategies, Springer, New York, 2001.MATHGoogle Scholar
  3. [HTF01]
    T.J. Hastie, R.J. Tibshirani, and J. Friedman, The elements of statistical learning, Springer, New York, 2001.MATHGoogle Scholar
  4. [Urb04]
    S. Urbanek, Model selection and comparison using interactive graphics, Ph.D. thesis, Augsburg, 2004.Google Scholar
  5. [UVW03]
    A. R. Unwin, C. Volinsky, and S. Winkler, Parallel coordinates for exploratory modelling analysis, Computational Statistics & Data Analysis 43 (2003), no. 4, 553–564.CrossRefMathSciNetGoogle Scholar
  6. [VR02]
    W. N. Venables and B. D. Ripley, Modern applied statistics with S, 4th ed., Springer, New York, 2002.MATHGoogle Scholar

Copyright information

© Physica-Verlag Heidelberg 2006

Authors and Affiliations

  • Antony Unwin
    • 1
  1. 1.Augsburg UniversityGermany

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