Overview
- Collects papers on the latest research in time series analysis and forecasting
- Covers theoretical aspects of time series as well as applications in various disciplines, including energy
- Fosters interdisciplinary collaboration between statisticians, econometricians and computer scientists
Part of the book series: Contributions to Statistics (CONTRIB.STAT.)
Included in the following conference series:
Conference proceedings info: ITISE 2022.
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Table of contents (15 papers)
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Front Matter
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Theoretical Aspects of Time Series
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Front Matter
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Econometrics
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Front Matter
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Time Series Analysis Applications
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Front Matter
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Time Series Applications in Energy
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Front Matter
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Other volumes
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Theory and Applications of Time Series Analysis
Keywords
About this book
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.
Editors and Affiliations
About the editors
Olga Valenzuela is an Associate Professor at the Department of Applied Mathematics, University of Granada, Spain, where she received her Ph.D. in 2003. She has worked as an invited researcher at the Department of Statistics, University of Jaen, Spain, and at the Department of Computer and Information Science, University of Genova, Italy. Her research interests include optimization theory and applications, statistical analysis, fuzzy systems, neural networks, time series forecasting using linear and non-linear methods, evolutionary computation and bioinformatics. She has published more than 65 papers listed in the Web of Science.
Fernando Rojas is an Associate Professor at the University of Granada, Spain, where he received his Ph.D. in 2004. His research focuses on signal processing, artificial intelligence techniques for optimization, including evolutionary computation, fuzzy logic, neural networks etc., and the study of computer architectures for parallelprocessing in complex problems, such as time series prediction. He has published over 25 articles in JCR-indexed journals. A former coordinator of the Master’s Degree in Computer and Network Engineering at the University of Granada, he has been the secretary of the Master’s Degree in Data Science and Computer Engineering since 2014, and the secretary of the Department of Architecture and Computer Technology at the University of Granada since 2018.
Luis Javier Herrera is an Associate Professor at the University of Granada, Spain, where he received his Ph.D. in 2006. His research focuses on machine learning techniques (fuzzy logic, deep learning, genetic algorithms, etc.), and on their optimization and application over a wide range of scientific problems related to classification, approximation and time series prediction, sometimes requiring high-performance computing systems. These applications include relevant problems in several fields such as biomedicine, bioinformatics, biochemistry, physics, optics, etc. He has published more than 40 papers in JCR-indexed journals. Over the last several years, he has (co-)led a number of research projects backed by national and regional funding entities.
Héctor Pomares has been a Full Professor at the University of Granada, Spain, since 2001. He has published more than 50 articles in JCR-indexed journals and contributed over 150 papers to international conferences. He has led or participated in 15 national projects, one independent R&D Excellence project and 13 contracts for innovative research through the University of Granada Foundation Company and the Office of Transfer of Research Results. He has been a visiting researcher at numerous prestigious research centers outside Spain. He is currently a member of the editorial board of the Journal of Applied Mathematics (JCR-indexed) and the coordinator of the Master’s Degree in Computer & Network Engineering at the University of Granada.
IgnacioRojas is a Full Professor at the Department of Computer Architecture and Computer Technology, University of Granada, Spain. His research focuses on the study of complex multidimensional systems using intelligent systems, supported by high-performance computing platforms, and their applications in various fields, including bioinformatics, biomedicine, and time series prediction. Throughout his research career, he has served as a principal investigator or otherwise participated in more than 24 research projects obtained in competitive tenders, including projects for the European Union, the I+D+I Spanish National Government and the Unit of Excellence of the Ministry of Innovation, Science and Enterprise Junta de Andalucía. He has published more than 270 contributions listed in the Web of Science, including more than 120 articles in JCR-indexed journals. He has actively participated in more than 125 international conferences, supervised 25 doctoral theses, and organized various international conferences, workshops and special sessions.
Bibliographic Information
Book Title: Theory and Applications of Time Series Analysis
Book Subtitle: Selected Contributions from ITISE 2022
Editors: Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
Series Title: Contributions to Statistics
DOI: https://doi.org/10.1007/978-3-031-40209-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-40208-1Published: 10 November 2023
Softcover ISBN: 978-3-031-40211-1Due: 11 December 2023
eBook ISBN: 978-3-031-40209-8Published: 09 November 2023
Series ISSN: 1431-1968
Series E-ISSN: 2628-8966
Edition Number: 1
Number of Pages: XII, 236
Number of Illustrations: 13 b/w illustrations, 42 illustrations in colour
Topics: Statistical Theory and Methods, Econometrics, Statistics for Business, Management, Economics, Finance, Insurance, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Applied Statistics, Probability and Statistics in Computer Science