Fahrmeir: Data from the book ”Multivariate Statistical Modelling Based on Generalized Linear Models”, first edition, by Ludwig Fahrmeir and Gerhard Tutz. Data and functions for the book ”Multivariate Statistical Modelling Based on Generalized Linear Models”, version 1, by Ludwig Fahrmeir and Gerhard Tutz

References in zbMATH (referenced in 191 articles )

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  1. Amini, Morteza; Roozbeh, Mahdi: Improving the prediction performance of the Lasso by subtracting the additive structural noises (2019)
  2. Lieli, Robert P.; Hsu, Yu-Chin: Using the area under an estimated ROC curve to test the adequacy of binary predictors (2019)
  3. Singh, Rakhi; Mukhopadhyay, Siuli: Exact Bayesian designs for count time series (2019)
  4. Bhattacharya, Arnab; Wilson, Simon P.: Sequential Bayesian inference for static parameters in dynamic state space models (2018)
  5. Bierkens, Joris; Bouchard-Côté, Alexandre; Doucet, Arnaud; Duncan, Andrew B.; Fearnhead, Paul; Lienart, Thibaut; Roberts, Gareth; Vollmer, Sebastian J.: Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains (2018)
  6. Chow, Sy-Miin; Ou, Lu; Ciptadi, Arridhana; Prince, Emily B.; You, Dongjun; Hunter, Michael D.; Rehg, James M.; Rozga, Agata; Messinger, Daniel S.: Representing sudden shifts in intensive dyadic interaction data using differential equation models with regime switching (2018)
  7. van Rijn, Peter W.; Ali, Usama S.: A generalized speed-accuracy response model for dichotomous items (2018)
  8. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
  9. Huang, Ming-Yueh; Chiang, Chin-Tsang: Estimation and inference procedures for semiparametric distribution models with varying linear-index (2017)
  10. Riebler, Andrea; Held, Leonhard: Projecting the future burden of cancer: Bayesian age-period-cohort analysis with integrated nested Laplace approximations (2017)
  11. Schmidt, Paul; Mühlau, Mark; Schmid, Volker: Fitting large-scale structured additive regression models using Krylov subspace methods (2017)
  12. Wegener, Michael; Kauermann, Göran: Forecasting in nonlinear univariate time series using penalized splines (2017)
  13. Deng, Dianliang; Paul, Sudhir R.: Goodness of fit of product multinomial regression models to sparse data (2016)
  14. Groenitz, Heiko: A covariate nonrandomized response model for multicategorical sensitive variables (2016)
  15. Kalema, George; Molenberghs, Geert; Kassahun, Wondwosen: Second-order generalized estimating equations for correlated count data (2016)
  16. Shi, Peng; Feng, Xiaoping; Boucher, Jean-Philippe: Multilevel modeling of insurance claims using copulas (2016)
  17. Weiß, Christian H.; Schweer, Sebastian: Bias corrections for moment estimators in Poisson INAR(1) and INARCH(1) processes (2016)
  18. Bürgin, Reto; Ritschard, Gilbert: Tree-based varying coefficient regression for longitudinal ordinal responses (2015)
  19. Lin, Kuo-Chin; Chen, Yi-Ju: Detecting misspecification in the random-effects structure of cumulative logit models (2015)
  20. Pupashenko, Daria; Ruckdeschel, Peter; Kohl, Matthias: (L_2) differentiability of generalized linear models (2015)

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