04498nam 22007815 450 991034931750332120251230065850.03-030-26036-410.1007/978-3-030-26036-1(CKB)4100000009606286(MiAaPQ)EBC5963207(DE-He213)978-3-030-26036-1(PPN)242824196(MiAaPQ)EBC5963089(EXLCZ)99410000000960628620191018d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierTheory and Applications of Time Series Analysis Selected Contributions from ITISE 2018 /edited by Olga Valenzuela, Fernando Rojas, Héctor Pomares, Ignacio Rojas1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (xv, 380 pages)Contributions to Statistics,2628-8966Includes index.3-030-26035-6 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.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.Contributions to Statistics,2628-8966StatisticsComputer scienceMathematicsMathematical statisticsEconometricsArtificial intelligenceProbabilitiesStatistics in Business, Management, Economics, Finance, InsuranceProbability and Statistics in Computer ScienceEconometricsStatistics in Engineering, Physics, Computer Science, Chemistry and Earth SciencesArtificial IntelligenceProbability TheoryStatistics.Computer scienceMathematics.Mathematical statistics.Econometrics.Artificial intelligence.Probabilities.Statistics in Business, Management, Economics, Finance, Insurance.Probability and Statistics in Computer Science.Econometrics.Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Artificial Intelligence.Probability Theory.519.55519.55Valenzuela Olgaedthttp://id.loc.gov/vocabulary/relators/edtRojas Fernandoedthttp://id.loc.gov/vocabulary/relators/edtPomares Héctoredthttp://id.loc.gov/vocabulary/relators/edtRojas Ignacioedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910349317503321Theory and Applications of Time Series Analysis1733796UNINA