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Theory and Applications of Time Series Analysis: Selected Contributions from ITISE 2022 /

Theory and Applications of Time Series Analysis: Selected Contributions from ITISE 2022 /
Catalogue Information
Field name Details
Dewey Class 519.55
Title Theory and Applications of Time Series Analysis (EBook :) : Selected Contributions from ITISE 2022 / / edited by Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas.
Added Personal Name Valenzuela, Olga
Rojas, Fernando
Herrera, Luis Javier
Pomares, Héctor
Rojas, Ignacio
Other name(s) SpringerLink (Online service)
Edition statement 1st ed. 2023.
Publication Cham : : Springer Nature Switzerland : : Imprint: Springer, , 2023.
Physical Details XII, 236 p. 55 illus., 42 illus. in color. : online resource.
Series Contributions to Statistics 2628-8966
ISBN 9783031402098
Summary Note This book presents the latest developments in the theory and applications of time series analysis and forecasting. Comprising a selection of refereed papers, it is divided into several parts that address modern theoretical aspects of time series analysis, forecasting and prediction, with applications to various disciplines, including econometrics and energy research. The broad range of topics discussed, including matters of particular relevance for sustainable development, will give readers a modern perspective on the subject. The included contributions were originally presented at the 8th International Conference on Time Series and Forecasting, ITISE 2022, held in Gran Canaria, Spain, June 27-30, 2022. 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. .:
Contents note Theoretical Aspects of Time Series -- Econometrics -- Time Series Analysis Applications -- Time Series Forecasting -- Time Series Forecasting.
Mode of acces to digital resource Digital reproduction.-
Cham :
Springer International Publishing,
2023. -
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site https://doi.org/10.1007/978-3-031-40209-8
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