References in zbMATH (referenced in 19 articles , 1 standard article )

Showing results 1 to 19 of 19.
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  1. Zemplenyi, Michele; Meyer, Mark J.; Cardenas, Andres; Hivert, Marie-France; Rifas-Shiman, Sheryl L.; Gibson, Heike; Kloog, Itai; Schwartz, Joel; Oken, Emily; Demeo, Dawn L.; Gold, Diane R.; Coull, Brent A.: Function-on-function regression for the identification of epigenetic regions exhibiting windows of susceptibility to environmental exposures (2021)
  2. Zhang, Xiaoke; Xue, Wu; Wang, Qiyue: Covariate balancing functional propensity score for functional treatments in cross-sectional observational studies (2021)
  3. Greven, Sonja; Scheipl, Fabian: Comments on: “Inference and computation with generalized additive models and their extensions” (2020)
  4. Zhang, Xiaoke; Zhong, Qixian; Wang, Jane-Ling: A new approach to varying-coefficient additive models with longitudinal covariates (2020)
  5. Aït Hennani, L.; Lemdani, Mohamed; Ould Saïd, E.: Robust regression analysis for a censored response and functional regressors (2019)
  6. Aneiros, Germán; Cao, Ricardo; Fraiman, Ricardo; Genest, Christian; Vieu, Philippe: Recent advances in functional data analysis and high-dimensional statistics (2019)
  7. Febrero-Bande, Manuel; Galeano, Pedro; González-Manteiga, Wenceslao: Estimation, imputation and prediction for the functional linear model with scalar response with responses missing at random (2019)
  8. Lee, Wonyul; Miranda, Michelle F.; Rausch, Philip; Baladandayuthapani, Veerabhadran; Fazio, Massimo; Downs, J. Crawford; Morris, Jeffrey S.: Bayesian semiparametric functional mixed models for serially correlated functional data, with application to glaucoma data (2019)
  9. Ling, Nengxiang; Meng, Shuyu; Vieu, Philippe: Uniform consistency rate of (k)NN regression estimation for functional time series data (2019)
  10. Novo, Silvia; Aneiros, Germán; Vieu, Philippe: Automatic and location-adaptive estimation in functional single-index regression (2019)
  11. Park, Yeonjoo; Simpson, Douglas G.: Robust probabilistic classification applicable to irregularly sampled functional data (2019)
  12. Rodríguez-Álvarez, María Xosé; Durban, Maria; Lee, Dae-Jin; Eilers, Paul H. C.: On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing (2019)
  13. Bauer, Alexander; Scheipl, Fabian; Küchenhoff, Helmut; Gabriel, Alice-Agnes: An introduction to semiparametric function-on-scalar regression (2018)
  14. Ding, Hui; Lu, Zhiping; Zhang, Jian; Zhang, Riquan: Semi-functional partial linear quantile regression (2018)
  15. Du, Jiang; Xu, Dengke; Cao, Ruiyuan: Estimation and variable selection for partially functional linear models (2018)
  16. Vieu, Philippe: On dimension reduction models for functional data (2018)
  17. Greven, Sonja; Scheipl, Fabian: A general framework for functional regression modelling (2017)
  18. Kokoszka, Piotr; Reimherr, Matthew: Discussion of: “A general framework for functional regression modelling” (2017)
  19. Mayr, Andreas; Hofner, Benjamin; Waldmann, Elisabeth; Hepp, Tobias; Meyer, Sebastian; Gefeller, Olaf: An update on statistical boosting in biomedicine (2017)