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Contributions to Statistics

Time Series Analysis and Forecasting

Selected Contributions from ITISE 2017

Editors: Rojas, Ignacio, Pomares, Héctor, Valenzuela, Olga (Eds.)

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  • Presents the latest developments in time series analysis and forecasting
  • Provides both theoretical findings and real-world applications
  • Brings together experts from various disciplines, ranging from statistics to econometrics to computer science
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About this book

This book presents selected peer-reviewed contributions from the International Work-Conference on Time Series, ITISE 2017, held in Granada, Spain, September 18-20, 2017. It discusses topics in time series analysis and forecasting, including advanced mathematical methodology, computational intelligence methods for time series, dimensionality reduction and similarity measures, econometric models, energy time series forecasting, forecasting in real problems, online learning in time series as well as high-dimensional and complex/big data time series.

The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing computer science, mathematics, statistics and econometrics.



About the authors

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 participated in more than 20 research projects obtained in competitive tenders, including projects of 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 reflected in Web of Science, including 145 articles in JCR-indexed journals.

Héctor Pomares has been a full professor at the University of Granada in Spain since 2001. He has published more than 50 articles in JCR-indexed journals and contributed over 150 papers at international conferences. He has led or participated in 15 national projects, one autonomic 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 a member of the editorial board of the Journal of Applied Mathematics (JCR-indexed) and is the coordinator of the Official Master's Degree in Computer & Network Engineering at the University of Granada.

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 was 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 been a visitor at numerous prestigious research centers outside Spain. She has published more than 72 papers reflected in Web of Science.


Table of contents (22 chapters)

Table of contents (22 chapters)
  • Forecasting via Fokker–Planck Using Conditional Probabilities

    Pages 3-13

    Montagnon, Chris

  • Cryptanalysis of a Random Number Generator Based on a Chaotic Ring Oscillator

    Pages 15-24

    Ergün, Salih

  • Further Results on a Robust Multivariate Time Series Analysis in Nonlinear Models with Autoregressive and t-Distributed Errors

    Pages 25-38

    Alkhatib, Hamza (et al.)

  • A New Estimation Technique for AR(1) Model with Long-Tailed Symmetric Innovations

    Pages 39-63

    Akkaya, Ayşen Dener (et al.)

  • Prediction of High-Dimensional Time Series with Exogenous Variables Using Generalized Koopman Operator Framework in Reproducing Kernel Hilbert Space

    Pages 65-77

    Hua, Jia-Chen (et al.)

Buy this book

eBook $169.00
price for Mexico (gross)
  • ISBN 978-3-319-96944-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for Mexico
  • ISBN 978-3-319-96943-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $219.99
price for Mexico
  • ISBN 978-3-030-07276-6
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Time Series Analysis and Forecasting
Book Subtitle
Selected Contributions from ITISE 2017
Editors
  • Ignacio Rojas
  • Héctor Pomares
  • Olga Valenzuela
Series Title
Contributions to Statistics
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-319-96944-2
DOI
10.1007/978-3-319-96944-2
Hardcover ISBN
978-3-319-96943-5
Softcover ISBN
978-3-030-07276-6
Series ISSN
1431-1968
Edition Number
1
Number of Pages
XIII, 340
Number of Illustrations
42 b/w illustrations, 60 illustrations in colour
Topics

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