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Yxilon – a Modular Open-Source Statistical Programming Language

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Author Info

  • Sigbert Klinke
  • Uwe Ziegenhagen
  • Yuval Guri

Abstract

Statistical research has always been at the edge of available computing power. Huge datasets, e.g in DataMining or Quantitative Finance, and computationally intensive techniques, e.g. bootstrap methods, always require a little bit more computing power than is currently available. But the most popular statistical programming language R, as well as statistical programming languages like S or XploRe, are interpreted which makes them slow in computing intensive areas. The common solution is to implement these routines in low-level programming languages like C/C++ or Fortran and subsequently integrate them as dynamic linked libraries (DLL) or shared object libraries (SO) in the statistical programming language.

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File URL: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2005-018.pdf
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Bibliographic Info

Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2005-018.

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Length: 7 pages
Date of creation: Mar 2005
Date of revision:
Handle: RePEc:hum:wpaper:sfb649dp2005-018

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Keywords: statistical programming language; XploRe; Yxilon; Java; dynamic linked libraries; shared object libraries;

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References

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  1. Krüger, Dirk & Uhlig, Harald, 2004. "Competitive Risk Sharing Contracts with One-Sided Commitment," CEPR Discussion Papers 4208, C.E.P.R. Discussion Papers.
  2. Szymon Borak & Wolfgang Härdle & Rafal Weron, 2005. "Stable Distributions," SFB 649 Discussion Papers SFB649DP2005-008, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  3. Szymon Borak & Kai Detlefsen & Wolfgang Härdle, 2005. "FFT Based Option Pricing," SFB 649 Discussion Papers SFB649DP2005-011, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  4. Ralf Brüggemann & Carsten Trenkler, 2005. "Are Eastern European Countries Catching Up? Time Series Evidence for Czech Republic, Hungary, and Poland," SFB 649 Discussion Papers SFB649DP2005-014, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  5. Enzo Giacomini & Wolfgang Härdle, 2005. "Value-at-Risk Calculations with Time Varying Copulae," SFB 649 Discussion Papers SFB649DP2005-004, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  6. Ingolf Dittmann & Christian Weiner, 2005. "Selecting Comparables for the Valuation of European Firms," SFB 649 Discussion Papers SFB649DP2005-002, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
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Cited by:
  1. Wolfgang Härdle & Sigbert Klinke & Uwe Ziegenhagen, 2005. "Integrable e-lements for Statistics Education," SFB 649 Discussion Papers SFB649DP2005-058, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

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