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Penalized likelihood and Bayesian function selection in regression models

Scheipl, Fabian; Kneib, Thomas; Fahrmeir, Ludwig - In: AStA Advances in Statistical Analysis 97 (2013) 4, pp. 349-385

Challenging research in various fields has driven a wide range of methodological advances in variable selection for regression models with high-dimensional predictors. In comparison, selection of nonlinear functions in models with additive predictors has been considered only more recently....

Persistent link: https://www.econbiz.de/10010698292

Additive mixed models with Dirichlet process mixture and P-spline priors

Heinzl, Felix; Fahrmeir, Ludwig; Kneib, Thomas - In: AStA Advances in Statistical Analysis 96 (2012) 1, pp. 47-68

Persistent link: https://www.econbiz.de/10010539407

Dynamische Modellierung und Analyse von Mikrodaten des Konjunkturtests

Fahrmeir, Ludwig - In: IFO-Studien : Zeitschrift für empirische … 40 (1994) 1, pp. 1-22

Persistent link: https://www.econbiz.de/10001162889

Dynamische Modellierung und Analyse von Mikrodaten des Konjunkturtests

Fahrmeir, Ludwig; Nase, Harald - In: IFO-Studien : Zeitschrift für empirische … 40 (1994) 1, pp. 1-22

Persistent link: https://www.econbiz.de/10006595813

Editorial

Kauermann, Göran; Kneib, Thomas; Okhrin, Yarema - In: AStA Advances in Statistical Analysis 104 (2020) 1, pp. 1-3

Persistent link: https://www.econbiz.de/10014504087

Semiparametric multinomial logit models for analysing consumer choice behaviour

Kneib, Thomas; Baumgartner, Bernhard; Steiner, Winfried - In: AStA Advances in Statistical Analysis 91 (2007) 3, pp. 225-244

Persistent link: https://www.econbiz.de/10005598069