References in zbMATH (referenced in 27 articles , 1 standard article )

Showing results 1 to 20 of 27.
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  1. Wang, Wei; Lin, Nan; Tang, Xiang: Robust two-sample test of high-dimensional mean vectors under dependence (2019)
  2. Schellhase, Christian; Spanhel, Fabian: Estimating non-simplified vine copulas using penalized splines (2018)
  3. Yang Hu; Carl Scarrott: evmix: An R package for Extreme Value Mixture Modeling, Threshold Estimation and Boundary Corrected Kernel Density Estimation (2018) not zbMATH
  4. Bee, Marco; Benedetti, Roberto; Espa, Giuseppe: Approximate maximum likelihood estimation of the Bingham distribution (2017)
  5. Bonnéry, Daniel; Breidt, F. Jay; Coquet, François: Kernel estimation for a superpopulation probability density function under informative selection (2017)
  6. Eichner, Gerrit: Kader -- an R package for nonparametric kernel adjusted density estimation and regression (2017)
  7. Gramacki, Artur; Gramacki, Jarosław: FFT-based fast bandwidth selector for multivariate kernel density estimation (2017)
  8. Kraus, Daniel; Czado, Claudia: D-vine copula based quantile regression (2017)
  9. Liu, Yang; Hannig, Jan: Generalized fiducial inference for logistic graded response models (2017)
  10. Mazo, Gildas: A semiparametric and location-shift copula-based mixture model (2017)
  11. Grillenzoni, Carlo: Design of blurring mean-shift algorithms for data classification (2016)
  12. Nagler, Thomas; Czado, Claudia: Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas (2016)
  13. 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
  14. Sreevani; Murthy, C. A.: On bandwidth selection using minimal spanning tree for kernel density estimation (2016)
  15. Thomas Nagler: kdecopula: An R Package for the Kernel Estimation of Bivariate Copula Densities (2016) arXiv
  16. Bee, Marco; Espa, Giuseppe; Giuliani, Diego: Approximate maximum likelihood estimation of the autologistic model (2015)
  17. Binois, Mickaël; Rullière, Didier; Roustant, Olivier: On the estimation of Pareto fronts from the point of view of copula theory (2015)
  18. Wang, Xuxu; Wang, Yong: Nonparametric multivariate density estimation using mixtures (2015)
  19. Azadbakhsh, Mahdis; Jankowski, Hanna; Gao, Xin: Computing confidence intervals for log-concave densities (2014)
  20. Battey, Heather; Linton, Oliver: Nonparametric estimation of multivariate elliptic densities via finite mixture sieves (2014)

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