04165nam 22006975 450 991025430480332120250408112711.03-319-55789-010.1007/978-3-319-55789-2(CKB)3710000001631050(MiAaPQ)EBC4935681(DE-He213)978-3-319-55789-2(PPN)203850998(EXLCZ)99371000000163105020170802d2017 u| 0engurcnu||||||||rdacontentrdamediardacarrierAdvances in Time Series Analysis and Forecasting Selected Contributions from ITISE 2016 /edited by Ignacio Rojas, Héctor Pomares, Olga Valenzuela1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (412 pages)Contributions to Statistics,2628-89663-319-55788-2 Includes bibliographical references at the end of each chapters and index.Preface -- Part I: Analysis of Irregularly Sampled Time Series: Techniques, Algorithms and Case Studies -- Scientific Contributions -- Part II: Multi-scale Analysis of Univariate and Multivariate Time Series -- Scientific Contributions -- Part III: Linear and Non-linear Time Series Models -- Scientific Contributions -- Part IV: Advanced Time Series Forecasting Methods -- Scientific Contributions -- Part V: Applications in Time Series Analysis and Forecasting -- Scientific Contributions -- Author Index.This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series. The contributions were originally presented at the International Work-Conference on Time Series, ITISE 2016, held in Granada, Spain, June 27-29, 2016. 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 rese arch encompassing the disciplines of computer science, mathematics, statistics and econometrics.Contributions to Statistics,2628-8966StatisticsEconometricsComputer scienceMathematicsMathematical statisticsProbabilitiesStatistics in Business, Management, Economics, Finance, InsuranceEconometricsProbability and Statistics in Computer ScienceProbability TheoryStatistics in Engineering, Physics, Computer Science, Chemistry and Earth SciencesStatistics.Econometrics.Computer scienceMathematics.Mathematical statistics.Probabilities.Statistics in Business, Management, Economics, Finance, Insurance.Econometrics.Probability and Statistics in Computer Science.Probability Theory.Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.519.55Rojas Ignacioedthttp://id.loc.gov/vocabulary/relators/edtPomares Héctoredthttp://id.loc.gov/vocabulary/relators/edtValenzuela Olgaedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910254304803321Advances in time series analysis and forecasting1560435UNINA00870nam0 22002411i 450 UON0013948520231205102835.16820020107d1972 |0itac50 batelIN|||| 1||||CairmanKodali Gopalarao[s. l.][s. n.]197288 p.23 cmLetteratura teluguTeatroUONC031439FISI VI MTSUBCONT. INDIANO - LETTERATURE DRAVIDICHE MINORI - TELUGUAGOPALARAOKodaliUONV084600671102ITSOL20251003RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00139485SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI SI VI MT 132 SI SA 58957 5 132 Cairman1278718UNIOR