References in zbMATH (referenced in 127 articles )

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  1. González, Miguel; Martínez, Rodrigo; Minuesa, Carmen; del Puerto, Inés: Approximate Bayesian computation in controlled branching processes: the role of summary statistics (2020)
  2. S. Thomas Kelly; Michael A. Black: graphsim: An R package for simulating gene expression data from graph structures of biological pathways (2020) not zbMATH
  3. Barbeito, Inés; Cao, Ricardo: Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation (2019)
  4. Bordley, Robert F.; Keisler, Jeffrey M.; Logan, Tom M.: Managing projects with uncertain deadlines (2019)
  5. Bruch, Christian: Applying the rescaling bootstrap under imputation: a simulation study (2019)
  6. Chatterjee, Debajit; Bandyopadhyay, Uttam: Testing in nonparametric ANCOVA model based on ridit reliability functional (2019)
  7. Gunawardana, Asanka; Konietschke, Frank: Nonparametric multiple contrast tests for general multivariate factorial designs (2019)
  8. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  9. Lamm, Michael; Lu, Shu: Generalized conditioning based approaches to computing confidence intervals for solutions to stochastic variational inequalities (2019)
  10. Liu, Zhonghua; Lin, Xihong: A geometric perspective on the power of principal component association tests in multiple phenotype studies (2019)
  11. Owen, Art B.; Maximov, Yury; Chertkov, Michael: Importance sampling the union of rare events with an application to power systems analysis (2019)
  12. Park, Yeonjoo; Simpson, Douglas G.: Robust probabilistic classification applicable to irregularly sampled functional data (2019)
  13. Picheny, Victor; Binois, Mickael; Habbal, Abderrahmane: A Bayesian optimization approach to find Nash equilibria (2019)
  14. Rainey, Christopher; Tortora, Cristina; Palumbo, Francesco: A parametric version of probabilistic distance clustering (2019)
  15. Rasch, Dieter; Verdooren, Rob; Pilz, Jürgen: Applied statistics. Theory and problem solutions with R (2019)
  16. Thomas Jaki; Philip Pallmann; Dominic Magirr: The R Package MAMS for Designing Multi-Arm Multi-Stage Clinical Trials (2019) not zbMATH
  17. Wan, Fang; Kunz, Cornelia U.; Jaki, Thomas F.: Confidence regions for treatment effects in subgroups in biomarker stratified designs (2019)
  18. Bornkamp, Björn: Calculating quantiles of noisy distribution functions using local linear regressions (2018)
  19. David Bolin; Finn Lindgren: Calculating Probabilistic Excursion Sets and Related Quantities Using excursions (2018) not zbMATH
  20. Efromovich, Sam: Missing and modified data in nonparametric estimation: with R examples (2018)

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