Abstract
Generalized bilinear models can hide under a variety of denominations. These correspond broadly to two types of statistical activities which are often combined: exploratory analysis and explicit modeling. It turns out that the wide diversity of correlative methods can be considered as minor variations of a single model which is introduced in the standard framework set for generalized linear models. The paper presents this unifying approach and illustrates some its strengths.
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de Falguerolles, A. (2000). GBMs: GLMs with bilinear terms. In: Bethlehem, J.G., van der Heijden, P.G.M. (eds) COMPSTAT. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57678-2_5
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DOI: https://doi.org/10.1007/978-3-642-57678-2_5
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