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Theory and applications of time series analysis
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 statistic...
Autores principales: | , , , |
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Lenguaje: | eng |
Publicado: |
Springer
2019
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-26036-1 http://cds.cern.ch/record/2700262 |
_version_ | 1780964505046482944 |
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author | Valenzuela, Olga Rojas, Fernando Pomares, Héctor Rojas, Ignacio |
author_facet | Valenzuela, Olga Rojas, Fernando Pomares, Héctor Rojas, Ignacio |
author_sort | Valenzuela, Olga |
collection | CERN |
description | 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 a valuable 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. |
id | cern-2700262 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
publisher | Springer |
record_format | invenio |
spelling | cern-27002622021-04-22T06:31:47Zdoi:10.1007/978-3-030-26036-1http://cds.cern.ch/record/2700262engValenzuela, OlgaRojas, FernandoPomares, HéctorRojas, IgnacioTheory and applications of time series analysisInternational Conference on Time Series and ForecastingMathematical Physics and MathematicsThis 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 a valuable 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.Springeroai:cds.cern.ch:27002622019 |
spellingShingle | Mathematical Physics and Mathematics Valenzuela, Olga Rojas, Fernando Pomares, Héctor Rojas, Ignacio Theory and applications of time series analysis |
title | Theory and applications of time series analysis |
title_full | Theory and applications of time series analysis |
title_fullStr | Theory and applications of time series analysis |
title_full_unstemmed | Theory and applications of time series analysis |
title_short | Theory and applications of time series analysis |
title_sort | theory and applications of time series analysis |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-030-26036-1 http://cds.cern.ch/record/2700262 |
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