Téléchargez le livre : Advances in Time Series Analysis and Forecasting

Advances in Time Series Analysis and Forecasting

Selected Contributions from ITISE 2016 de

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Éditeur :

Springer


Collection :

Contributions to Statistics

Paru le : 2017-07-31

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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 research encompassing the disciplines of computer science, mathematics, statistics and econometrics.
Pages
414 pages
Collection
Contributions to Statistics
Parution
2017-07-31
Marque
Springer
EAN papier
9783319557885
EAN PDF
9783319557892
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
41
Taille du fichier
11858 Ko
Prix
94,94 €
EAN EPUB
9783319557892
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
41
Taille du fichier
6298 Ko
Prix
94,94 €

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