References in zbMATH (referenced in 66 articles , 1 standard article )

Showing results 1 to 20 of 66.
Sorted by year (citations)

1 2 3 4 next

  1. Lisa Amrhein, Christiane Fuchs: stochprofML: Stochastic Profiling Using Maximum Likelihood Estimation in R (2020) arXiv
  2. Giorgio Speranza, Roberto Canteri: RxpsG a new open project for Photoelectron and Electron Spectroscopy data processing (2019) not zbMATH
  3. Rivas-Martínez, G. I.; Jiménez-Gamero, M. D.; Moreno-Rebollo, J. L.: A two-sample test for the error distribution in nonparametric regression based on the characteristic function (2019)
  4. Nott, David J.; Drovandi, Christopher C.; Mengersen, Kerrie; Evans, Michael: Approximation of Bayesian predictive (p)-values with regression ABC (2018)
  5. Salehi, Mahdi; Azzalini, Adelchi: On application of the univariate Kotz distribution and some of its extensions (2018)
  6. Zhang, Xin; Wang, Chong; Wu, Yichao: Functional envelope for model-free sufficient dimension reduction (2018)
  7. Adriano Zambom and Michael Akritas: NonpModelCheck: An R Package for Nonparametric Lack-of-Fit Testing and Variable Selection (2017) not zbMATH
  8. Eichner, Gerrit: Kader -- an R package for nonparametric kernel adjusted density estimation and regression (2017)
  9. Li, Dewang: Kernel estimations for multivariate density functional with bootstrap (2017)
  10. Liu, Chong; Ray, Surajit; Hooker, Giles: Functional principal component analysis of spatially correlated data (2017)
  11. Reyes, Miguel; Francisco-Fernández, Mario; Cao, Ricardo: Bandwidth selection in kernel density estimation for interval-grouped data (2017)
  12. Teixeira, Francisco Curado; Quintas, João; Maurya, Pramod; Pascoal, António: Robust particle filter formulations with application to terrain-aided navigation (2017)
  13. García-Portugués, Eduardo; Van Keilegom, Ingrid; Crujeiras, Rosa M.; González-Manteiga, Wenceslao: Testing parametric models in linear-directional regression (2016)
  14. González, M.; Minuesa, C.; del Puerto, I.: Maximum likelihood estimation and expectation-maximization algorithm for controlled branching processes (2016)
  15. Berentsen, Geir Drage; Tjøstheim, Dag: Recognizing and visualizing departures from independence in bivariate data using local Gaussian correlation (2014)
  16. Menardi, Giovanna; Torelli, Nicola: Training and assessing classification rules with imbalanced data (2014)
  17. van den Boogaart, Karl Gerald; Egozcue, Juan José; Pawlowsky-Glahn, Vera: Bayes Hilbert spaces (2014)
  18. Bilionis, Ilias; Zabaras, Nicholas; Konomi, Bledar A.; Lin, Guang: Multi-output separable Gaussian process: towards an efficient, fully Bayesian paradigm for uncertainty quantification (2013)
  19. González-Manteiga, Wenceslao; Crujeiras, Rosa M.: Rejoinder on: “An updated review of goodness-of-fit tests for regression models” (2013)
  20. Al-Sharadqah, A.; Chernov, N.: Statistical analysis of curve fitting methods in errors-in-variables models (2012)

1 2 3 4 next