Artikel
Compositional time series: Past and perspectives
This work reviews academic contributions that focus on the analysis of compositional dynamic series, a little investigated topic in spite of the wide data availability in social sciences. It explores the available options and divides research articles into two main probability approaches, frequentist and Bayesian, and enumerates several specific data transformations and techniques. As conclusion, this branch of the compositional statistical analysis requires a profound updating and, for this very same reason, is a fertile field for future research.
- Language
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Englisch
- Bibliographic citation
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Journal: Atlantic Review of Economics ; ISSN: 2174-3835 ; Volume: 1 ; Year: 2017 ; A Coruña: Colegio de Economistas de A Coruña
- Classification
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Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Specific Distributions; Specific Statistics
- Event
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Geistige Schöpfung
- (who)
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Larrosa, Juan M. C.
- Event
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Veröffentlichung
- (who)
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Colegio de Economistas de A Coruña
- (where)
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A Coruña
- (when)
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2017
- Handle
- Last update
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10.03.2025, 11:42 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
- Artikel
Associated
- Larrosa, Juan M. C.
- Colegio de Economistas de A Coruña
Time of origin
- 2017
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