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\texttt{Snow}: A parallel computing framework for the R system

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Publication:1040754
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DOI10.1007/s10766-008-0077-2zbMath1191.68146OpenAlexW2039950257MaRDI QIDQ1040754

Na Li, A. J. Rossini, Luke Tierney

Publication date: 25 November 2009

Published in: International Journal of Parallel Programming (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10766-008-0077-2

zbMATH Keywords

bootstrapMPIcross-validationmessage passingdistributed memoryPVMsockets


Mathematics Subject Classification ID

Theory of programming languages (68N15)


Related Items

Large Sample Behavior of the CTE and VaR Estimators under Importance Sampling, Asymptotic theory for the empirical Haezendonck-Goovaerts risk measure, Parallel Bootstrap and Optimal Subsample Lengths in Smooth Function Models, An Asymptotic Analysis of the Bootstrap Bias Correction for the Empirical CTE, Snow, A Note on Nonparametric Estimation of the CTE


Uses Software

  • R
  • MASS (R)
  • boot
  • SciPy
  • RngSteam
  • rpvm
  • Rlecuyer
  • Rmpi
  • snowFT
  • varSelRF
  • GeneSrF
  • nws
  • IPython
  • BSPedupack
  • bootlib


Cites Work

  • Statistical Analysis of Financial Data in S-Plus
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