References in zbMATH (referenced in 16 articles )

Showing results 1 to 16 of 16.
Sorted by year (citations)

  1. Schellhase, Christian; Spanhel, Fabian: Estimating non-simplified vine copulas using penalized splines (2018)
  2. Bonnéry, Daniel; Breidt, F. Jay; Coquet, François: Kernel estimation for a superpopulation probability density function under informative selection (2017)
  3. Eichner, Gerrit: Kader -- an R package for nonparametric kernel adjusted density estimation and regression (2017)
  4. Liu, Yang; Hannig, Jan: Generalized fiducial inference for logistic graded response models (2017)
  5. Mazo, Gildas: A semiparametric and location-shift copula-based mixture model (2017)
  6. Grillenzoni, Carlo: Design of blurring mean-shift algorithms for data classification (2016)
  7. Nagler, Thomas; Czado, Claudia: Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas (2016)
  8. Nuno Fachada, Joao Rodrigues, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa: micompr: An R Package for Multivariate Independent Comparison of Observations (2016) arXiv
  9. Thomas Nagler: kdecopula: An R Package for the Kernel Estimation of Bivariate Copula Densities (2016) arXiv
  10. Wang, Xuxu; Wang, Yong: Nonparametric multivariate density estimation using mixtures (2015)
  11. Battey, Heather; Linton, Oliver: Nonparametric estimation of multivariate elliptic densities via finite mixture sieves (2014)
  12. Bordes, L.; Kojadinovic, I.; Vandekerkhove, P.: Semiparametric estimation of a two-component mixture of linear regressions in which one component is known (2013)
  13. Naito, Kanta; Eguchi, Shinto: Density estimation with minimization of $U$-divergence (2013)
  14. Rubio, F.J.; Johansen, Adam M.: A simple approach to maximum intractable likelihood estimation (2013)
  15. Chacón, J.E.; Duong, T.: Multivariate plug-in bandwidth selection with unconstrained pilot bandwidth matrices (2010)
  16. Wand, M.P.: Semiparametric regression and graphical models (2009)