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.
- Sprache
-
Englisch
- Erschienen in
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Journal: Atlantic Review of Economics ; ISSN: 2174-3835 ; Volume: 1 ; Year: 2017 ; A Coruña: Colegio de Economistas de A Coruña
- Klassifikation
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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
- Ereignis
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Geistige Schöpfung
- (wer)
-
Larrosa, Juan M. C.
- Ereignis
-
Veröffentlichung
- (wer)
-
Colegio de Economistas de A Coruña
- (wo)
-
A Coruña
- (wann)
-
2017
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Larrosa, Juan M. C.
- Colegio de Economistas de A Coruña
Entstanden
- 2017
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