References in zbMATH (referenced in 13 articles )

Showing results 1 to 13 of 13.
Sorted by year (citations)

  1. Evandro Konzen, Yafeng Cheng, Jian Qing Shi: Gaussian Process for Functional Data Analysis: The GPFDA Package for R (2021) arXiv
  2. Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao: FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces (2020) arXiv
  3. Greven, Sonja; Scheipl, Fabian: Comments on: “Inference and computation with generalized additive models and their extensions” (2020)
  4. Liu, Yusha; Li, Meng; Morris, Jeffrey S.: Function-on-scalar quantile regression with application to mass spectrometry proteomics data (2020)
  5. Yang, Hojin; Baladandayuthapani, Veerabhadran; Rao, Arvind U. K.; Morris, Jeffrey S.: Quantile function on scalar regression analysis for distributional data (2020)
  6. Bauer, Alexander; Scheipl, Fabian; Küchenhoff, Helmut; Gabriel, Alice-Agnes: An introduction to semiparametric function-on-scalar regression (2018)
  7. Brockhaus, Sarah; Melcher, Michael; Leisch, Friedrich; Greven, Sonja: Boosting flexible functional regression models with a high number of functional historical effects (2017)
  8. Clara Happ: Object-Oriented Software for Functional Data (2017) arXiv
  9. Greven, Sonja; Scheipl, Fabian: A general framework for functional regression modelling (2017)
  10. Mayr, Andreas; Hofner, Benjamin; Waldmann, Elisabeth; Hepp, Tobias; Meyer, Sebastian; Gefeller, Olaf: An update on statistical boosting in biomedicine (2017)
  11. Morris, Jeffrey S.: Comparison and contrast of two general functional regression modelling frameworks (2017)
  12. Scheipl, Fabian; Gertheiss, Jan; Greven, Sonja: Generalized functional additive mixed models (2016)
  13. Brockhaus, Sarah; Scheipl, Fabian; Hothorn, Torsten; Greven, Sonja: The functional linear array model (2015)