Theory and Applications of Time Series Analysis Selected Contributions from ITISE 2018 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Valenzuela, Olga (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Rojas, Fernando (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pomares, Héctor (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Rojas, Ignacio (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Contributions to Statistics,
• Θέματα: Statistics .; Mathematical statistics.; Econometrics.; Artificial intelligence.; Probabilities.; Statistics for Business, Management, Economics, Finance, Insurance.; Probability and Statistics in Computer Science.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Artificial Intelligence.; Probability Theory and Stochastic Processes.

 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. 

 Preface -- Advanced Statistical Methods for Time Series Analysis and Forecasting -- Advanced Computational Intelligence Methods for Time Series Analysis and Forecasting -- Econometric Models, Financial Forecasting and Risk Analysis -- Time Series Analysis in Earth Sciences -- Energy Time Series Forecasting -- Time Series Analysis and Prediction in Other Real Problems.