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Parsimonious Classification Via Generalized Linear Mixed Models

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  • G. Kauermann
  • J. Ormerod
  • M. Wand

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  • G. Kauermann & J. Ormerod & M. Wand, 2010. "Parsimonious Classification Via Generalized Linear Mixed Models," Journal of Classification, Springer;The Classification Society, vol. 27(1), pages 89-110, March.
    • Handle: RePEc:spr:jclass:v:27:y:2010:i:1:p:89-110
    DOI: 10.1007/s00357-010-9045-9
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    References listed on IDEAS

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    1. Dennis Cox & Eunmee Koh, 1989. "A smoothing spline based test of model adequacy in polynomial regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 41(2), pages 383-400, June.
    2. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506.
    3. Göran Kauermann & Tatyana Krivobokova & Ludwig Fahrmeir, 2009. "Some asymptotic results on generalized penalized spline smoothing," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 487-503, April.
    4. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167.
    5. Wand, M.P., 2007. "Fisher information for generalised linear mixed models," Journal of Multivariate Analysis, Elsevier, vol. 98(7), pages 1412-1416, August.
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