References in zbMATH (referenced in 18 articles )

Showing results 1 to 18 of 18.
Sorted by year (citations)

  1. Helwig, Nathaniel E.: Efficient estimation of variance components in nonparametric mixed-effects models with large samples (2016)
  2. Hofner, Benjamin; Kneib, Thomas; Hothorn, Torsten: A unified framework of constrained regression (2016)
  3. Klein, Nadja; Kneib, Thomas: Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach (2016)
  4. Tutz, Gerhard; Schmid, Matthias: Modeling discrete time-to-event data (2016)
  5. Xiao, Luo; Zipunnikov, Vadim; Ruppert, David; Crainiceanu, Ciprian: Fast covariance estimation for high-dimensional functional data (2016)
  6. Burr, Wesley S.; Shin, Hwashin H.: Accounting for temperature when modeling population health risk due to air pollution (2015)
  7. Ivanescu, Andrada E.; Staicu, Ana-Maria; Scheipl, Fabian; Greven, Sonja: Penalized function-on-function regression (2015)
  8. Karabatsos, George; Walker, Stephen G.: Adaptive-modal Bayesian nonparametric regression (2012)
  9. Liu, Hai; Tu, Wanzhu: A semiparametric regression model for paired longitudinal outcomes with application in childhood blood pressure development (2012)
  10. Koenker, Roger: Additive models for quantile regression: model selection and confidence bands (2011)
  11. Matteson, David S.; McLean, Mathew W.; Woodard, Dawn B.; Henderson, Shane G.: Forecasting emergency medical service call arrival rates (2011)
  12. Wand, M.P.; Ormerod, J.T.: Penalized wavelets: embedding wavelets into semiparametric regression (2011)
  13. Kauermann, G.; Ormerod, J.T.; Wand, M.P.: Parsimonious classification via generalized linear mixed models (2010)
  14. Ruppert, David; Wand, M.P.; Carroll, Raymond J.: Semiparametric regression during 2003--2007 (2009)
  15. Scheipl, Fabian; Kneib, Thomas: Locally adaptive Bayesian P-splines with a normal-exponential-gamma prior (2009)
  16. Belitz, Christiane; Lang, Stefan: Simultaneous selection of variables and smoothing parameters in structured additive regression models (2008)
  17. Dean, C. B.; Nielsen, Jason D.: Generalized linear mixed models: a review and some extensions (2007)
  18. Currie, I.D.; Durban, M.; Eilers, P.H.C.: Generalized linear array models with applications to multidimensional smoothing (2006)