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Stability of multivariate representation of business cycles over time

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  • Weihs, Claus
  • Garczarek, Ursula

Abstract

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  • Weihs, Claus & Garczarek, Ursula, 2002. "Stability of multivariate representation of business cycles over time," Technical Reports 2002,20, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200220
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    File URL: https://www.econstor.eu/bitstream/10419/77104/2/2002-20.pdf
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    Cited by:

    1. Pumplün, Constanze & Weihs, Claus & Preusser, Andrea, 2004. "Experimental Design for Variable Selection in data bases," Technical Reports 2004,72, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    2. Garczarek, Ursula & Weihs, Claus & Enache, Daniel, 2005. "Classification-relevant Importance Measures for the West German Business Cycle," Technical Reports 2005,37, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    3. Weihs, Claus & Luebke, Karsten, 2004. "A Note on the Dimension of the Projection Space in a Latent Factor Regression Model with Application to Business Cycle Classification," Technical Reports 2004,29, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    4. Enache, Daniel & Weihs, Claus, 2004. "Importance Assessment of Correlated Predictors in Business Cycles Classification," Technical Reports 2004,66, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    5. Weihs, Claus & Luebke, Karsten, 2005. "Prediction Optimal Classification of Business Phases," Technical Reports 2005,41, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

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