References in zbMATH (referenced in 192 articles , 1 standard article )

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  1. Mauff, Katya; Erler, Nicole S.; Kardys, Isabella; Rizopoulos, Dimitris: Pairwise estimation of multivariate longitudinal outcomes in a Bayesian setting with extensions to the joint model (2021)
  2. Argiento, Raffaele; Cremaschi, Andrea; Vannucci, Marina: Hierarchical normalized completely random measures to cluster grouped data (2020)
  3. Cunen, Céline; Walløe, Lars; Hjort, Nils Lid: Focused model selection for linear mixed models with an application to whale ecology (2020)
  4. Diabaté, Modibo; Coquille, Loren; Samson, Adeline: Parameter estimation and treatment optimization in a stochastic model for immunotherapy of cancer (2020)
  5. Galarza, Christian E.; Castro, Luis M.; Louzada, Francisco; Lachos, Victor H.: Quantile regression for nonlinear mixed effects models: a likelihood based perspective (2020)
  6. Hall, P.; Johnstone, I. M.; Ormerod, J. T.; Wand, M. P.; Yu, J. C. F.: Fast and accurate binary response mixed model analysis via expectation propagation (2020)
  7. Javeed, Aurya; Hooker, Giles: Timing observations of diffusions (2020)
  8. Nolan, Tui H.; Wand, Matt P.: Streamlined solutions to multilevel sparse matrix problems (2020)
  9. Pullenayegum, Eleanor M.: Meeting the assumptions of inverse-intensity weighting for longitudinal data subject to irregular follow-up: suggestions for the design and analysis of clinic-based cohort studies (2020)
  10. Roustant, Olivier; Padonou, Espéran; Deville, Yves; Clément, Aloïs; Perrin, Guillaume; Giorla, Jean; Wynn, Henry: Group kernels for Gaussian process metamodels with categorical inputs (2020)
  11. Shao, Yuanyuan; McKean, Joseph W.; Huitema, Bradley E.: Traditional and rank-based tests for ordered alternatives in a cluster correlated model (2020)
  12. Xu, Ancha; Wang, You-Gan; Zheng, Shurong; Cai, Fengjing: Bias reduction in the two-stage method for degradation data analysis (2020)
  13. Baey, Charlotte; Cournède, Paul-Henry; Kuhn, Estelle: Asymptotic distribution of likelihood ratio test statistics for variance components in nonlinear mixed effects models (2019)
  14. Carpita, Maurizio; Ciavolino, Enrico; Pasca, Paola: Exploring and modelling team performances of the kaggle European soccer database (2019)
  15. Das, Sumonkanti; Rahman, Azizur; Ahamed, Ashraf; Rahman, Sabbir Tahmidur: Multi-level models can benefit from minimizing higher-order variations: an illustration using child malnutrition data (2019)
  16. Flores-Agreda, Daniel; Cantoni, Eva: Bootstrap estimation of uncertainty in prediction for generalized linear mixed models (2019)
  17. Fu, Liyong; Wang, Mingliang; Wang, Zuoheng; Song, Xinyu; Tang, Shouzheng: Maximum likelihood estimation of nonlinear mixed-effects models with crossed random effects by combining first-order conditional linearization and sequential quadratic programming (2019)
  18. García, Oscar: Estimating reducible stochastic differential equations by conversion to a least-squares problem (2019)
  19. Geraci, Marco: Modelling and estimation of nonlinear quantile regression with clustered data (2019)
  20. Heck, Daniel W.: Accounting for estimation uncertainty and shrinkage in Bayesian within-subject intervals: a comment on Nathoo, Kilshaw, and Masson (2018) (2019)

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