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• W2279268814 abstract "A pair of polychotomous random variables $$(Y_1,Y_2)^top =:{varvec{Y}}$$(Y1,Y2)?=:Y, where each $$Y_j$$Yj has a totally ordered support, is studied within a penalized generalized linear model framework. We deal with a triangular generating process for $${varvec{Y}}$$Y, a structure that has been employed in the literature to control for the presence of residual confounding. Differently from previous works, however, the proposed model allows for a semi-parametric estimation of the covariate-response relationships. In this way, the risk of model mis-specification stemming from the imposition of fixed-order polynomial functional forms is also reduced. The proposed estimation methods and related inferential results are finally applied to study the effect of education on alcohol consumption among young adults in the UK." @default.
• W2279268814 created "2016-06-24" @default.
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• W2279268814 date "2015-12-26" @default.
• W2279268814 modified "2023-09-26" @default.
• W2279268814 title "Semi-parametric bivariate polychotomous ordinal regression" @default.
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• W2279268814 doi "https://doi.org/10.1007/s11222-015-9622-1" @default.
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