References in zbMATH (referenced in 23 articles )

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  1. Agostinelli, Claudio; Valdora, Marina; Yohai, Victor J.: Initial robust estimation in generalized linear models (2019)
  2. Bordes, Laurent; Chauveau, Didier: Stochastic EM algorithms for parametric and semiparametric mixture models for right-censored lifetime data (2016)
  3. González, Miguel; Gutiérrez, Cristina; Martínez, Rodrigo; Minuesa, Carmen; del Puerto, Inés M.: Bayesian analysis for controlled branching processes (2016)
  4. Kustosz, Christoph P.; Leucht, Anne; Müller, Christine H.: Tests based on simplicial depth for AR(1) models with explosion (2016)
  5. Marius Hofert; Martin Mächler: Parallel and Other Simulations in R Made Easy: An End-to-End Study (2016) not zbMATH
  6. Matloff, Norman: Parallel computing for data science. With examples in R, C++ and CUDA (2016)
  7. Teisseyre, Paweł; Kłopotek, Robert A.; Mielniczuk, Jan: Random subspace method for high-dimensional regression with the \textttRpackage \textttregRSM (2016)
  8. Bernd Bischl; Michel Lang; Olaf Mersmann; Jörg Rahnenführer; Claus Weihs: BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments (2015) not zbMATH
  9. Christopher Paciorek; Benjamin Lipshitz; Wei Zhuo; Prabhat; Cari G. Kaufman; Rollin Thomas: Parallelizing Gaussian Process Calculations in R (2015) not zbMATH
  10. Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)
  11. Fellinghauer, Bernd; Bühlmann, Peter; Ryffel, Martin; von Rhein, Michael; Reinhardt, Jan D.: Stable graphical model estimation with random forests for discrete, continuous, and mixed variables (2013)
  12. Michael Kane; John Emerson; Stephen Weston: Scalable Strategies for Computing with Massive Data (2013) not zbMATH
  13. Nagarajan, Radhakrishnan; Scutari, Marco; Lèbre, Sophie: Bayesian networks in R. With applications in systems biology (2013)
  14. Nguyen, P.; Brown, P. E.; Stafford, J.: Mapping cancer risk in southwestern Ontario with changing census boundaries (2012)
  15. Stefan Theußl; Ingo Feinerer; Kurt Hornik: A tm Plug-In for Distributed Text Mining in R (2012) not zbMATH
  16. Yamamoto, Yoshikazu; Nakano, Junji; Fujiwara, Takeshi: Parallel computing in the statistical system Jasp (2010)
  17. Markus Schmidberger; Martin Morgan; Dirk Eddelbuettel; Hao Yu; Luke Tierney; Ulrich Mansmann: State of the Art in Parallel Computing with R (2009) not zbMATH
  18. Tierney, Luke; Rossini, A. J.; Li, Na: \textttSnow: A parallel computing framework for the R system (2009)
  19. Kim-Anh Lê Cao; Patrick Chabrier: ofw: An R Package to Select Continuous Variables for Multiclass Classification with a Stochastic Wrapper Method (2008) not zbMATH
  20. Tristen Hayfield; Jeffrey Racine: Nonparametric Econometrics: The np Package (2008) not zbMATH

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