Regularisierung für diskrete Datenstrukturen

• Applicant: Professor Dr. Gerhard Tutz
• Subject Area: Statistics and Econometrics
• Term: from 2011 to 2016
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 208398175

• Final Report Year: 2015

No abstract available

Publications

• Clustering in linear mixed models with a group fused lasso penalty. Biometrical Journal, Vol. 56. 2014, Issue 1, pp. 44–68.
  Heinzl, Felix & Tutz, Gerhard
  
• Variable selection and shrinkage of varying to fixed effects in finite mixtures of generalized linear models. In: Muggeo, V. M. R., Capursi, V., Boscaino, G., und Lovison, G. (Eds.), Proceedings of the 28th International Workshop on Statistical Modelling, Vol. 1. 2013, S. 319–324. ISBN 978-88-96251-47-8.
  Pößnecker, W., Tutz, G.
  
• Additive Mixed Models with Approximate Dirichlet Process Mixtures: the EM Approach. Statistics and Computing, Vol. 26, 2016, Issue 1, pp. 73–92.
  Heinzl, Felix & Tutz, Gerhard
  
• Regularization and model selection with categorical predictors and effect modifiers in generalized linear models. Statistical Modelling, Vol. 14. 2014, issue: 2, pp. 157-177.
  Oelker, Margret-Ruth; Gertheiss, Jan & Tutz, Gerhard
  
• Regularization and selection of proportional versus nonpro-portional effects in sequential logit models. In: T. Kneib, F. Sobotka, J. Fahrenholz, und H. Irmer (Eds.), Proceedings of the 29th International Workshop on Statistical Modelling, Vol. 1, S. 279–284.
  Pößnecker, W., Tutz, G.
  
• Selection and fusion of categorical predictors with L0-type penalties. Statistical Modelling, Vol. 15.2015, Issue 5, pp. 389 -410.
  Oelker, Margret-Ruth; Pößnecker, Wolfgang & Tutz, Gerhard
  
• A uniform framework for the combination of penalties in generalized structured models. Advances in Data Analysis and Classification, published online.
  Oelker, Margret-Ruth & Tutz, Gerhard
  
• Modeling electoral choices in multiparty systems with high-dimensional data: a regularized selection of parameters using the Lasso approach. Journal of Choice Modelling, Vol. 16. 2015, pp. 23–42.
  Mauerer, Ingrid; Pößnecker, Wolfgang; Thurner, Paul W. & Tutz, Gerhard
  
• Variable selection in general multinomial logit models. Computational Statistics & Data Analysis, Vol. 82. 2015, pp. 207–222.
  Tutz, Gerhard; Pößnecker, Wolfgang & Uhlmann, Lorenz
  
• Modeling clustered heterogeneity: fixed effects, random effects and mixtures. International Statistical Review, Early View (Online Version of Record published before inclusion in an issue).
  Tutz, Gerhard & Oelker, Margret‐Ruth