References in zbMATH (referenced in 240 articles , 1 standard article )

Showing results 1 to 20 of 240.
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  1. Ghosh, Swarnadip; Hastie, Trevor; Owen, Art B.: Backfitting for large scale crossed random effects regressions (2022)
  2. Kruse, René-Marcel; Silbersdorff, Alexander; Säfken, Benjamin: Model averaging for linear mixed models via augmented Lagrangian (2022)
  3. Scutari, Marco; Denis, Jean-Baptiste: Bayesian networks. With examples in R (2022)
  4. Adrian Richter; Carsten Oliver Schmidt; Markus Krüger; Stephan Struckmann: dataquieR: assessment of data quality in epidemiological research (2021) not zbMATH
  5. Alex Stringer: Implementing Adaptive Quadrature for Bayesian Inference: the aghq Package (2021) arXiv
  6. Benjamin Säfken, David Rügamer, Thomas Kneib, Sonja Greven: Conditional Model Selection in Mixed-Effects Models with cAIC4 (2021) not zbMATH
  7. Böhning, Dankmar; Holling, Heinz; Böhning, Walailuck; Sangnawakij, Patarawan: Investigating heterogeneity in meta-analysis of studies with rare events. Estimating the amount of heterogeneity (2021)
  8. 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
  9. Castellano, Rosella; Mancinelli, Marco; Ponsi, Giorgia; Tieri, Gaetano: What if versus probabilistic scenarios: a neuroscientific analysis (2021)
  10. Cochrane, Courtney; Ba, Demba; Klerman, Elizabeth B.; St. Hilaire, Melissa A.: An ensemble mixed effects model of sleep loss and performance (2021)
  11. Diawara, N.; Porter, B. E.; Kannane, J.: Evaluation and prediction under hierarchical and bivariate copula models for seat belt use data (2021)
  12. Erler, N. S., Rizopoulos, D., Lesaffre, E. M. E. H.: JointAI: Joint Analysis and Imputation of Incomplete Data in R (2021) not zbMATH
  13. Eshin Jolly: Pymer4: Connecting R and Python for Linear Mixed Modeling (2021) not zbMATH
  14. Ferri-García, Ramón; Castro-Martín, Luis; del Mar Rueda, María: Evaluating machine learning methods for estimation in online surveys with superpopulation modeling (2021)
  15. Hančová, Martina; Gajdoš, Andrej; Hanč, Jozef; Vozáriková, Gabriela: Estimating variances in time series kriging using convex optimization and empirical BLUPs (2021)
  16. Hoff, Peter: Additive and multiplicative effects network models (2021)
  17. Hu, Xinyu; Qian, Min; Cheng, Bin; Cheung, Ying Kuen: Personalized policy learning using longitudinal mobile health data (2021)
  18. Jackson, Benjamin D.; Connolly, James M.; Gerlach, Robin; Klapper, Isaac; Parker, Albert E.: Bayesian estimation and uncertainty quantification in models of urea hydrolysis by \textitE. coli biofilms (2021)
  19. Jeon, Minjeong; Jin, Ick Hoon; Schweinberger, Michael; Baugh, Samuel: Mapping unobserved item-respondent interactions: a latent space item response model with interaction map (2021)
  20. Jiang, Yingda; Chiu, Chi-Yang; Yan, Qi; Chen, Wei; Gorin, Michael B.; Conley, Yvette P.; Lakhal-Chaieb, M’Hamed Lajmi; Cook, Richard J.; Amos, Christopher I.; Wilson, Alexander F.; Bailey-Wilson, Joan E.; McMahon, Francis J.; Vazquez, Ana I.; Yuan, Ao; Zhong, Xiaogang; Xiong, Momiao; Weeks, Daniel E.; Fan, Ruzong: Gene-based association testing of dichotomous traits with generalized functional linear mixed models using extended pedigrees: applications to age-related macular degeneration (2021)

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