Produktnummer:
18223e00635c934595a96ff6090834a920
Themengebiete: | complex and big data time series econometric models and forecasting energy forecasting financial forecasting forecasting theory and adjustment hierarchical forecasting prediction of time series time series analysis time series with computational intelligence times series in energy |
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Veröffentlichungsdatum: | 21.11.2020 |
EAN: | 9783030562182 |
Sprache: | Englisch |
Seitenzahl: | 460 |
Produktart: | Gebunden |
Herausgeber: | Herrera, Luis Javier Pomares, Héctor Rojas, Fernando Rojas, Ignacio Valenzuela, Olga |
Verlag: | Springer International Publishing |
Untertitel: | Selected Contributions from ITISE 2019 |
Produktinformationen "Theory and Applications of Time Series Analysis"
This book presents a selection of peer-reviewed contributions on the latest advances in time series analysis, presented at the International Conference on Time Series and Forecasting (ITISE 2019), held in Granada, Spain, on September 25-27, 2019. The first two parts of the book present theoretical contributions on statistical and advanced mathematical methods, and on econometric models, financial forecasting and risk analysis. The remaining four parts include practical contributions on time series analysis in energy; complex/big data time series and forecasting; time series analysis with computational intelligence; and time series analysis and prediction for other real-world problems. Given this mix of topics, readers will acquire a more comprehensive perspective on the field of time series analysis and forecasting.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.

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