Semiparametric modelling of multicategorical data

DOI10.1080/0094965031000118959zbMath1048.62047OpenAlexW2078980859MaRDI QIDQ4825490

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Publication date: 28 October 2004

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://epub.ub.uni-muenchen.de/1599/1/paper_209.pdf

zbMATH Keywords

penalizationsemiparametric modellingchoice modelsmultinomial logit model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Generalized linear models (logistic models) (62J12)

Related Items (4)

Inference on finite population categorical response: nonparametric regression-based predictive approach ⋮ Semiparametric regression during 2003--2007 ⋮ Computational approximation of the likelihood ratio for testing the existence of change-points in a heteroscedastic series ⋮ Kernel-based semiparametric multinomial logit modelling of political party preferences

Uses Software

• Fahrmeir

Cites Work

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• Multivariate adaptive regression splines
• Polynomial splines and their tensor products in extended linear modeling. (With discussions)
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Some theory for penalized spline generalized additive models
• Market share analysis using semi-parametric attraction models
• Flexible Parsimonious Smoothing and Additive Modeling
• Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
• A kernel method of estimating structured nonparametric regression based on marginal integration
• Miscellanea. On the optimal amount of smoothing in penalised spline regression
• Multivariate statistical modelling based on generalized linear models.

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