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Looking Back at the Gifi System of Nonlinear Multivariate Analysis

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  • van der Heijden, Peter G. M.
  • van Buuren, Stef

Abstract

Gifi was the nom de plume for a group of researchers led by Jan de Leeuw at the University of Leiden. Between'70 and'90 the group produced a stream of theoretical papers and computer programs in the area of nonlinear multivariate analysis that were very innovative. In an informal way this paper discusses the so-called Gifi system of nonlinear multivariate analysis, that entails homogeneity analysis (which is closely related to multiple correspondence analysis) and generalizations. The history is discussed, giving attention to the scientific philosophy of this group, and links to machine learning are indicated.

Suggested Citation

  • van der Heijden, Peter G. M. & van Buuren, Stef, 2016. "Looking Back at the Gifi System of Nonlinear Multivariate Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 73(i04).
    • Handle: RePEc:jss:jstsof:v:073:i04
    DOI: http://hdl.handle.net/10.18637/jss.v073.i04
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    References listed on IDEAS

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    1. Forrest Young, 1981. "Quantitative analysis of qualitative data," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 357-388, December.
    2. Husson, François & Josse, Julie & Saporta, Gilbert, 2016. "Jan de Leeuw and the French School of Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 73(i06).
    3. I.W. Molenaar, 1988. "Formal statistics and informal data analysis, or why laziness should be discouraged," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 42(2), pages 83-90, June.
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    Cited by:

    1. Mair, Patrick & Mullen, Katharine, 2016. "Honoring the Lion: A Festschrift for Jan de Leeuw," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 73(i01).
    2. Evan Munro & Serena Ng, 2022. "Latent Dirichlet Analysis of Categorical Survey Responses," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 256-271, January.

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