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Yxilon – a Modular Open-Source Statistical Programming Language Author info | Abstract | Publisher info | Download info | Related research | Statistics Sigbert Klinke
Uwe Ziegenhagen
Yuval Guri
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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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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 2005Date of revision:
Handle: RePEc:hum:wpaper:sfb649dp2005-018Contact details of provider: Postal: Spandauer Str. 1,10178 Berlin Phone: +49-30-2093-5708 Fax: +49-30-2093-5617 Email: Web page: http://sfb649.wiwi.hu-berlin.de More information through EDIRC
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Keywords: statistical programming language ; XploRe ; Yxilon ; Java ; dynamic linked libraries ; shared object libraries ; Other versions of this item:
Find related papers by JEL classification: C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
This paper has been announced in the following NEP Reports :
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Szymon Borak & Kai Detlefsen & Wolfgang Härdle, 2005.
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"Are Eastern European Countries Catching Up? Time Series Evidence for Czech Republic, Hungary, and Poland ,"
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SFB649DP2005-004, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
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Dirk Krueger & Harald Uhlig, 2005.
"Competitive Risk Sharing Contracts with One-Sided Commitment ,"
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2005/07, Center for Financial Studies.
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Other versions:
Dirk Krueger & Harald Uhlig, 2003.
"Competitive Risk Sharing Contracts with One-Sided Commitment ,"
NBER Working Papers
10135, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted) Dirk Krueger & Harald Uhlig, 2003.
"Competitive Risk Sharing Contracts with One-Sided Commitment ,"
Levine's Bibliography
666156000000000407, UCLA Department of Economics.
[Downloadable!] Dirk Krueger & Harald Uhlig, 2005.
"Competitive Risk Sharing Contracts with One-Sided Commitment ,"
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[Downloadable!] Krüger, Dirk & Uhlig, Harald, 2004.
"Competitive Risk Sharing Contracts with One-Sided Commitment ,"
CEPR Discussion Papers
4208, C.E.P.R. Discussion Papers.
[Downloadable!] (restricted) Krueger, Dirk & Uhlig, Harald, 2006.
"Competitive risk sharing contracts with one-sided commitment ,"
Journal of Monetary Economics ,
Elsevier, vol. 53(7), pages 1661-1691, October.
[Downloadable!] (restricted) Ingolf Dittmann & Christian Weiner, 2005.
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Other versions: Benjamin Bental & Dominique Demougin, 2005.
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SFB 649 Discussion Papers
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Christian Weiner, 2005.
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Astrid Matthey, 2005.
"Getting Used to Risks: Reference Dependence and Risk Inclusion ,"
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Wolfgang Härdle & Sigbert Klinke & Uwe Ziegenhagen, 2005.
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