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International Work-Conference on Time Series

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 ser...

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Detalles Bibliográficos
Autores principales: Rojas, Ignacio, Pomares, Héctor, Valenzuela, Olga
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-55789-2
http://cds.cern.ch/record/2282108
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author Rojas, Ignacio
Pomares, Héctor
Valenzuela, Olga
author_facet Rojas, Ignacio
Pomares, Héctor
Valenzuela, Olga
author_sort Rojas, Ignacio
collection CERN
description 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.
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spelling cern-22821082021-04-22T06:35:57Zdoi:10.1007/978-3-319-55789-2http://cds.cern.ch/record/2282108engRojas, IgnacioPomares, HéctorValenzuela, OlgaInternational Work-Conference on Time SeriesMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:22821082017
spellingShingle Mathematical Physics and Mathematics
Rojas, Ignacio
Pomares, Héctor
Valenzuela, Olga
International Work-Conference on Time Series
title International Work-Conference on Time Series
title_full International Work-Conference on Time Series
title_fullStr International Work-Conference on Time Series
title_full_unstemmed International Work-Conference on Time Series
title_short International Work-Conference on Time Series
title_sort international work-conference on time series
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-55789-2
http://cds.cern.ch/record/2282108
work_keys_str_mv AT rojasignacio internationalworkconferenceontimeseries
AT pomareshector internationalworkconferenceontimeseries
AT valenzuelaolga internationalworkconferenceontimeseries