References in zbMATH (referenced in 140 articles )

Showing results 1 to 20 of 140.
Sorted by year (citations)

1 2 3 ... 5 6 7 next

  1. Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel: Statistical Network Analysis with Bergm (2021) arXiv
  2. Evandro Konzen, Yafeng Cheng, Jian Qing Shi: Gaussian Process for Functional Data Analysis: The GPFDA Package for R (2021) arXiv
  3. Graßhoff, Ulrike; Großmann, Heiko; Holling, Heinz; Schwabe, Rainer: Optimal design for probit choice models with dependent utilities (2021)
  4. Hintz, Erik; Hofert, Marius; Lemieux, Christiane: Normal variance mixtures: distribution, density and parameter estimation (2021)
  5. Ogasawara, Haruhiko: A non-recursive formula for various moments of the multivariate normal distribution with sectional truncation (2021)
  6. Arsalane Chouaib Guidoum, Kamal Boukhetala: Performing Parallel Monte Carlo and Moment Equations Methods for Ito and Stratonovich Stochastic Differential Systems: R Package Sim.DiffProc (2020) not zbMATH
  7. González, Miguel; Martínez, Rodrigo; Minuesa, Carmen; del Puerto, Inés: Approximate Bayesian computation in controlled branching processes: the role of summary statistics (2020)
  8. S. Thomas Kelly; Michael A. Black: graphsim: An R package for simulating gene expression data from graph structures of biological pathways (2020) not zbMATH
  9. Barbeito, Inés; Cao, Ricardo: Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation (2019)
  10. Bordley, Robert F.; Keisler, Jeffrey M.; Logan, Tom M.: Managing projects with uncertain deadlines (2019)
  11. Bruch, Christian: Applying the rescaling bootstrap under imputation: a simulation study (2019)
  12. Chatterjee, Debajit; Bandyopadhyay, Uttam: Testing in nonparametric ANCOVA model based on ridit reliability functional (2019)
  13. Gunawardana, Asanka; Konietschke, Frank: Nonparametric multiple contrast tests for general multivariate factorial designs (2019)
  14. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  15. Lamm, Michael; Lu, Shu: Generalized conditioning based approaches to computing confidence intervals for solutions to stochastic variational inequalities (2019)
  16. Liu, Zhonghua; Lin, Xihong: A geometric perspective on the power of principal component association tests in multiple phenotype studies (2019)
  17. Owen, Art B.; Maximov, Yury; Chertkov, Michael: Importance sampling the union of rare events with an application to power systems analysis (2019)
  18. Park, Yeonjoo; Simpson, Douglas G.: Robust probabilistic classification applicable to irregularly sampled functional data (2019)
  19. Picheny, Victor; Binois, Mickael; Habbal, Abderrahmane: A Bayesian optimization approach to find Nash equilibria (2019)
  20. Rainey, Christopher; Tortora, Cristina; Palumbo, Francesco: A parametric version of probabilistic distance clustering (2019)

1 2 3 ... 5 6 7 next