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

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  1. Brown, Paul T.; Joshi, Chaitanya; Joe, Stephen; Rue, Håvard: A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations (2021)
  2. Lim, Alejandro; Chiang, Chin-Tsang; Teng, Jen-Chieh: Estimating robot strengths with application to selection of alliance members in FIRST robotics competitions (2021)
  3. Bry, Xavier; Trottier, Catherine; Mortier, Frédéric; Cornu, Guillaume: Component-based regularization of a multivariate GLM with a thematic partitioning of the explanatory variables (2020)
  4. Geirsson, Óli Páll; Hrafnkelsson, Birgir; Simpson, Daniel; Sigurdarson, Helgi: LGM split sampler: an efficient MCMC sampling scheme for latent Gaussian models (2020)
  5. Guo, Guangbao; Sun, Yue; Jiang, Xuejun: A partitioned quasi-likelihood for distributed statistical inference (2020)
  6. Wu, Ho-Hsiang; Ferreira, Marco A. R.; Elkhouly, Mohamed; Ji, Tieming: Hyper nonlocal priors for variable selection in generalized linear models (2020)
  7. Amini, Morteza; Roozbeh, Mahdi: Improving the prediction performance of the Lasso by subtracting the additive structural noises (2019)
  8. Fokianos, Konstantinos; Truquet, Lionel: On categorical time series models with covariates (2019)
  9. Lieli, Robert P.; Hsu, Yu-Chin: Using the area under an estimated ROC curve to test the adequacy of binary predictors (2019)
  10. Singh, Rakhi; Mukhopadhyay, Siuli: Exact Bayesian designs for count time series (2019)
  11. Xie, Yimeng; Xu, Li; Li, Jie; Deng, Xinwei; Hong, Yili; Kolivras, Korine; Gaines, David N.: Spatial variable selection and an application to Virginia Lyme disease emergence (2019)
  12. Bhattacharya, Arnab; Wilson, Simon P.: Sequential Bayesian inference for static parameters in dynamic state space models (2018)
  13. 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)
  14. 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)
  15. Gao, Xu; Gillen, Daniel; Ombao, Hernando: Fisher information matrix of binary time series (2018)
  16. Hendrickx, K.; Janssen, P.; Verhasselt, A.: Penalized spline estimation in varying coefficient models with censored data (2018)
  17. van Rijn, Peter W.; Ali, Usama S.: A generalized speed-accuracy response model for dichotomous items (2018)
  18. Giordan, M.; Vaggi, F.; Wehrens, R.: On the maximization of likelihoods belonging to the exponential family using a Levenberg-Marquardt approach (2017)
  19. Grigorova, Denitsa: EM algorithm for maximum likelihood estimation of correlated probit model for two longitudinal ordinal outcomes (2017)
  20. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)

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