References in zbMATH (referenced in 34 articles , 1 standard article )

Showing results 1 to 20 of 34.
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  1. Bonner, S., Kim, H.-N., Westneat, D., Mutzel, A., Wright, J., Schofield, M.: dalmatian: A Package for Fitting Double Hierarchical Linear Models in R via JAGS and nimble (2021) not zbMATH
  2. Erler, N. S., Rizopoulos, D., Lesaffre, E. M. E. H.: JointAI: Joint Analysis and Imputation of Incomplete Data in R (2021) not zbMATH
  3. Kuschnig, N., Vashold, L.: BVAR: Bayesian Vector Autoregressions with Hierarchical Prior Selection in R (2021) not zbMATH
  4. Paul-Christian Burkner: Bayesian Item Response Modeling in R with brms and Stan (2021) not zbMATH
  5. Bradley, Jonathan R.; Holan, Scott H.; Wikle, Christopher K.: Bayesian hierarchical models with conjugate full-conditional distributions for dependent data from the natural exponential family (2020)
  6. Matthias Speidel, Jörg Drechsler, Shahab Jolani: The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond (2020) not zbMATH
  7. Nino-Ruiz, Elias D.: A numerical method for solving linear systems in the preconditioned Crank-Nicolson algorithm (2020)
  8. Bonnet, Anna: Heritability estimation in case-control studies (2018)
  9. Bou-Rabee, Nawaf; Sanz-Serna, J. M.: Geometric integrators and the Hamiltonian Monte Carlo method (2018)
  10. Jing Zhao; Jian’an Luan; Peter Congdon: Bayesian Linear Mixed Models with Polygenic Effects (2018) not zbMATH
  11. Sarkar, Abhra; Chabout, Jonathan; Macopson, Joshua Jones; Jarvis, Erich D.; Dunson, David B.: Bayesian semiparametric mixed effects Markov models with application to vocalization syntax (2018)
  12. Wagner Bonat: Multiple Response Variables Regression Models in R: The mcglm Package (2018) not zbMATH
  13. Wang, Xiaofeng; Yue, Yu Ryan; Faraway, Julian J.: Bayesian regression modeling with INLA (2018)
  14. Keith, Jonathan M. (ed.): Bioinformatics. Volume II: structure, function, and applications (2017)
  15. Montano, Diego: Multivariate hierarchical Bayesian models and choice of priors in the analysis of survey data (2017)
  16. Ommen, Danica M.; Saunders, Christopher P.; Neumann, Cedric: The characterization of Monte Carlo errors for the quantification of the value of forensic evidence (2017)
  17. Pajala, Tommi; Korhonen, Pekka; Wallenius, Jyrki: Road to robust prediction of choices in deterministic MCDM (2017)
  18. Paul-Christian Buerkner: Bayesian Distributional Non-Linear Multilevel Modeling with the R Package brms (2017) arXiv
  19. Paul-Christian Bürkner: brms: An R Package for Bayesian Multilevel Models Using Stan (2017) not zbMATH
  20. Adelfio, Giada; Boscaino, Giovanni: Degree course change and student performance: a mixed-effect model approach (2016)

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