References in zbMATH (referenced in 92 articles , 1 standard article )

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  1. Costa Mota Paraíba, Carolina; Ribeiro Diniz, Carlos Alberto: Randomly truncated nonlinear mixed-effects models (2016)
  2. Furlan, Sarah; Agnoli, Franca; Reyna, Valerie F.: Intuition and analytic processes in probabilistic reasoning: the role of time pressure (2016)
  3. Heinzl, Felix; Tutz, Gerhard: Additive mixed models with approximate Dirichlet process mixtures: the EM approach (2016)
  4. Kogan, Clark; Kalachev, Leonid; Van Dongen, Hans P.A.: Prediction accuracy in multivariate repeated-measures Bayesian forecasting models with examples drawn from research on sleep and circadian rhythms (2016)
  5. Kohli, Nidhi; Harring, Jeffrey R.; Zopluoglu, Cengiz: A finite mixture of nonlinear random coefficient models for continuous repeated measures data (2016)
  6. Wang, Wei: Identifiability of covariance parameters in linear mixed effects models (2016)
  7. Kreutz, Clemens; Raue, Andreas; Timmer, Jens: Statistics for model calibration (2015)
  8. Sengupta, Dishari; Choudhary, Pankaj K.; Cassey, Phillip: Modeling and analysis of method comparison data with skewness and heavy tails (2015)
  9. Sinha, Sanjoy K.; Sattar, Abdus: Inference in semi-parametric spline mixed models for longitudinal data (2015)
  10. West, Brady T.; Welch, Kathleen B.; Gałecki, Andrzej T.: Linear mixed models. A practical guide using statistical software. With contributions from Brenda W. Gillespie (2015)
  11. Żądło, Tomasz: On longitudinal moving average model for prediction of subpopulation total (2015)
  12. Arribas-Gil, Ana; Bertin, Karine; Meza, Cristian; Rivoirard, Vincent: Lasso-type estimators for semiparametric nonlinear mixed-effects models estimation (2014)
  13. Choudhary, Pankaj K.; Sengupta, Dishari; Cassey, Phillip: A general skew-$t$ mixed model that allows different degrees of freedom for random effects and error distributions (2014)
  14. Delattre, Maud; Lavielle, Marc; Poursat, Marie-Anne: A note on BIC in mixed-effects models (2014)
  15. Groll, Andreas; Tutz, Gerhard: Variable selection for generalized linear mixed models by $L_1$-penalized estimation (2014)
  16. Hofner, Benjamin; Mayr, Andreas; Robinzonov, Nikolay; Schmid, Matthias: Model-based boosting in R: a hands-on tutorial using the R package mboost (2014)
  17. Ng, Chi Tim; Joe, Harry: Model comparison with composite likelihood information criteria (2014)
  18. Wang, L.; Cao, J.; Ramsay, J.O.; Burger, D.M.; Laporte, C.J.L.; Rockstroh, J.K.: Estimating mixed-effects differential equation models (2014)
  19. Azzimonti, Laura; Ieva, Francesca; Paganoni, Anna Maria: Nonlinear nonparametric mixed-effects models for unsupervised classification (2013)
  20. Comte, F.; Genon-Catalot, V.; Samson, A.: Nonparametric estimation for stochastic differential equations with random effects (2013)

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