Advances in Time Series Analysis and Forecasting

Selected Contributions from ITISE 2016

Business & Finance, Economics, Econometrics, Statistics, Nonfiction, Science & Nature, Mathematics
Cover of the book Advances in Time Series Analysis and Forecasting by , Springer International Publishing
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Author: ISBN: 9783319557892
Publisher: Springer International Publishing Publication: July 31, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319557892
Publisher: Springer International Publishing
Publication: July 31, 2017
Imprint: Springer
Language: English

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

research encompassing the disciplines of computer science, mathematics, statistics and econometrics.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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

research encompassing the disciplines of computer science, mathematics, statistics and econometrics.

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