Arbeitspapier
Stability of multivariate representation of business cycles over time
- Language
-
Englisch
- Bibliographic citation
-
Series: Technical Report ; No. 2002,20
- Subject
-
Konjunktur
Zeitreihenanalyse
Multivariate Analyse
Theorie
Deutschland
- Event
-
Geistige Schöpfung
- (who)
-
Weihs, Claus
Garczarek, Ursula
- Event
-
Veröffentlichung
- (who)
-
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
- (where)
-
Dortmund
- (when)
-
2002
- Handle
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Weihs, Claus
- Garczarek, Ursula
- Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Time of origin
- 2002
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Determination of optimal prediction oriented multivariate latent factor models using loss functions
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Variance reduction with Monte Carlo estimates of error rates in multivariate classification
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Outliers and influence points in German business cycles
Determination of Relevant Frequencies and Modeling Varying Amplitudes of Harmonic Processes
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Direct minimization of error rates in multivariate classification
Dynamic Bayesian networks for classification of business cycles
Clustering techniques for the detection of business cycles
Importance Assessment of Correlated Predictors in Business Cycles Classification
Determination of optimal prediction oriented multivariate latent factor models using loss functions
A note on a multivariate analogue of the process capability index Cp
Multivariate classification of business phases
Variance reduction with Monte Carlo estimates of error rates in multivariate classification
Multivariate statistical process control using dynamic ensemble methods
Outliers and influence points in German business cycles
Determination of Relevant Frequencies and Modeling Varying Amplitudes of Harmonic Processes
A Nonparametric Multivariate Control Chart Based on Data Depth
Direct minimization of error rates in multivariate classification
Dynamic Bayesian networks for classification of business cycles
Clustering techniques for the detection of business cycles
Importance Assessment of Correlated Predictors in Business Cycles Classification
Determination of optimal prediction oriented multivariate latent factor models using loss functions
A note on a multivariate analogue of the process capability index Cp
Multivariate classification of business phases
Variance reduction with Monte Carlo estimates of error rates in multivariate classification
Multivariate statistical process control using dynamic ensemble methods
Outliers and influence points in German business cycles
Determination of Relevant Frequencies and Modeling Varying Amplitudes of Harmonic Processes