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Geert Molenberghs

  1. A Family of Generalized Linear Models for Repeated Measures with Normal and Conjugate Random Effects.

    Thu, 01/06/2011 - 16:01 — SomNambul
    Authors: Clarice G. B. Demétrio, Geert Molenberghs, Geert Verbeke, Afrânio M. C. Vieira
    Subjects: Methodology
    Abstract

    Non-Gaussian outcomes are often modeled using members of the so-called
    exponential family. Notorious members are the Bernoulli model for binary data,
    leading to logistic regression, and the Poisson model for count data, leading
    to Poisson regression.

  2. Discussion of Likelihood Inference for Models with Unobservables: Another View.

    Wed, 10/06/2010 - 15:01 — SomNambul
    Authors: Geert Molenberghs, Michael G. Kenward, Geert Verbeke
    Subjects: Methodology
    Abstract

    Discussion of "Likelihood Inference for Models with Unobservables: Another
    View" by Youngjo Lee and John A. Nelder [arXiv:1010.0303]

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