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Advances in time series analysis and...

International Work-Conference on Time Series ((2016 :)

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Advances in time series analysis and forecasting = selected contributions from ITISE 2016 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in time series analysis and forecasting/ edited by Ignacio Rojas, Hector Pomares, Olga Valenzuela.
Reminder of title:	selected contributions from ITISE 2016 /
remainder title:	ITISE 2016
other author:	Rojas, Ignacio.
corporate name:	International Work-Conference on Time Series
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xv, 414 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Time-series analysis - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-55789-2
ISBN:	9783319557892

Advances in time series analysis and forecasting = selected contributions from ITISE 2016 /
Advances in time series analysis and forecastingselected contributions from ITISE 2016 /[electronic resource] :ITISE 2016edited by Ignacio Rojas, Hector Pomares, Olga Valenzuela. - Cham :Springer International Publishing :2017. - xv, 414 p. :ill., digital ;24 cm. - Contributions to statistics,1431-1968. - Contributions to statistics..

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.

ISBN: 9783319557892

Standard No.: 10.1007/978-3-319-55789-2doiSubjects--Topical Terms:

678578
Time-series analysis
--Congresses.

LC Class. No.: QA280 / .I58 2016

Dewey Class. No.: 519.55

Advances in time series analysis and forecasting = selected contributions from ITISE 2016 /
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520 $a 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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