References in zbMATH (referenced in 212 articles , 1 standard article )

Showing results 1 to 20 of 212.
Sorted by year (citations)

1 2 3 ... 9 10 11 next

  1. Adrian Richter; Carsten Oliver Schmidt; Markus Krüger; Stephan Struckmann: dataquieR: assessment of data quality in epidemiological research (2021) not zbMATH
  2. Alex Stringer: Implementing Adaptive Quadrature for Bayesian Inference: the aghq Package (2021) arXiv
  3. Cochrane, Courtney; Ba, Demba; Klerman, Elizabeth B.; St. Hilaire, Melissa A.: An ensemble mixed effects model of sleep loss and performance (2021)
  4. Eshin Jolly: Pymer4: Connecting R and Python for Linear Mixed Modeling (2021) not zbMATH
  5. Ferri-García, Ramón; Castro-Martín, Luis; del Mar Rueda, María: Evaluating machine learning methods for estimation in online surveys with superpopulation modeling (2021)
  6. Hoff, Peter: Additive and multiplicative effects network models (2021)
  7. Hu, Xinyu; Qian, Min; Cheng, Bin; Cheung, Ying Kuen: Personalized policy learning using longitudinal mobile health data (2021)
  8. 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)
  9. Manju, Md Abu; Candel, Math J. J. M.; van Breukelen, Gerard J. P.: Robustness of cost-effectiveness analyses of cluster randomized trials assuming bivariate normality against skewed cost data (2021)
  10. Sugasawa, Shonosuke: Grouped heterogeneous mixture modeling for clustered data (2021)
  11. Thomas, Abin; Vishwakarma, Gajendra K.; Bhattacharjee, Atanu: Joint modeling of longitudinal and time-to-event data on multivariate protein biomarkers (2021)
  12. Aaron Cochrane: TEfits: Nonlinear regression for time-evolving indices (2020) not zbMATH
  13. Achim Zeileis, Susanne Köll, Nathaniel Graham: Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R (2020) not zbMATH
  14. 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)
  15. Cho, Sun-Joo; Brown-Schmidt, Sarah; De Boeck, Paul; Shen, Jianhong: Modeling intensive polytomous time-series eye-tracking data: a dynamic tree-based item response model (2020)
  16. Christen, J. Andrés; Parker, Albert E.: Systematic statistical analysis of microbial data from dilution series (2020)
  17. Cunen, Céline; Walløe, Lars; Hjort, Nils Lid: Focused model selection for linear mixed models with an application to whale ecology (2020)
  18. Gupta, Bhisham C.; Guttman, Irwin; Jayalath, Kalanka P.: Statistics and probability with applications for engineers and scientists using MINITAB, R and JMP (2020)
  19. 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)
  20. Kandanaarachchi, Sevvandi; Muñoz, Mario A.; Hyndman, Rob J.; Smith-Miles, Kate: On normalization and algorithm selection for unsupervised outlier detection (2020)

1 2 3 ... 9 10 11 next