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Time Series Analysis and Forecasting

Selected Contributions from ITISE 2023

Springer International Publishing

ISBN 978-3-031-69750-0

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Bibliografische Daten

eBook. PDF. Weiches DRM (Wasserzeichen)

2025

23 s/w-Abbildungen, 59 Farbabbildungen.

In englischer Sprache

Umfang: 329 S.

Verlag: Springer International Publishing

ISBN: 978-3-031-69750-0

Produktbeschreibung

This volume on the latest developments in the theory and applications of time series analysis and forecasting comprises a selection of refereed papers presented at the 9th International Conference on Time Series and Forecasting, ITISE 2023, held in Gran Canaria, Spain, July 12-14, 2023. It is divided into several parts that address modern theoretical aspects of time series analysis, advanced econometric methods, time series and machine learning, financial forecasting and risk analysis, and applications to various disciplines, including econometrics and energy research. The broad range of topics and applications presented, including matters of particular relevance for sustainable development, gives readers a modern perspective on the subject. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics.

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