Overview
- Presents the latest developments in time series analysis and forecasting
- Highlights both theoretical findings and real-world applications
- Brings together experts from various disciplines, ranging from statistics to econometrics and computer science
Part of the book series: Contributions to Statistics (CONTRIB.STAT.)
Included in the following conference series:
Conference proceedings info: ITISE 2018.
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Table of contents (25 papers)
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Front Matter
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Advanced Statistical Methods for Time Series Analysis and Forecasting
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Front Matter
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Advanced Computational Intelligence Methods for Time Series Analysis and Forecasting
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Front Matter
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Econometric Models, Financial Forecasting and Risk Analysis
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Front Matter
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Time Series Analysis in Earth Sciences
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Front Matter
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Other volumes
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Theory and Applications of Time Series Analysis
Keywords
- time series analysis
- forecasting theory and adjustment
- econometrics forecasting
- high-dimensional data
- big and complex data
- energy time series forecasting
- computational intelligence methods for time series
- on-line learning in time series
- financial forecasting
- time series in earth sciences
- hierarchical forecasting
- risk analysis
- artificial intelligence
- pattern recognition
- statistics for business
About this book
This book presents selected peer-reviewed contributions from the International Conference on Time Series and Forecasting, ITISE 2018, held in Granada, Spain, on September 19-21, 2018. The first three parts of the book focus on the theory of time series analysis and forecasting, and discuss statistical methods, modern computational intelligence methodologies, econometric models, financial forecasting, and risk analysis. In turn, the last three parts are dedicated to applied topics and include papers on time series analysis in the earth sciences, energy time series forecasting, and time series analysis and prediction in other real-world problems. The book offers readers valuable insights into the different aspects of time series analysis and forecasting, allowing them to benefit both from its sophisticated and powerful theory, and from its practical applications, which address real-world problems in a range of disciplines.
The ITISE conference series provides avaluable forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary 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 60 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 parallel processing in complex problems, such as time series prediction. He has published 26 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.
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 visitor 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 official Master’s Degree in Computer & Network Engineering at the University of Granada.
Ignacio Rojas is a Full Professor at the Department of Computer Architecture and Computer Technology, University of Granada, Spain. Throughout his research career, he has served as a principal investigator or otherwise participated in more than 20 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 250 scientific contributions listed in the Web of Science, including 90 articles in JCR-indexed journals.
Bibliographic Information
Book Title: Theory and Applications of Time Series Analysis
Book Subtitle: Selected Contributions from ITISE 2018
Editors: Olga Valenzuela, Fernando Rojas, Héctor Pomares, Ignacio Rojas
Series Title: Contributions to Statistics
DOI: https://doi.org/10.1007/978-3-030-26036-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-26035-4Published: 19 October 2019
Softcover ISBN: 978-3-030-26038-5Published: 19 October 2020
eBook ISBN: 978-3-030-26036-1Published: 18 October 2019
Series ISSN: 1431-1968
Series E-ISSN: 2628-8966
Edition Number: 1
Number of Pages: XV, 380
Number of Illustrations: 36 b/w illustrations, 116 illustrations in colour
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Probability and Statistics in Computer Science, Econometrics, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Artificial Intelligence, Probability Theory and Stochastic Processes