Time Series Analysis and Forecasting
Selected Contributions from the ITISE Conference
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Beschreibung
This volume presents selected peer-reviewed contributions from The International Work-Conference on Time Series, ITISE 2015, held in Granada, Spain, July 1-3, 2015. It discusses topics in time series analysis and forecasting, advanced methods and online learning in time series, high-dimensional and complex/big data time series as well as forecasting in real problems.
The International Work-Conferences on Time Series (ITISE) provide 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.
This volume presents selected peer-reviewed contributions from The International Work-Conference on Time Series, ITISE 2015, held in Granada, Spain, July 1-3, 2015. It discusses topics in time series analysis and forecasting, advanced methods and online learning in time series, high-dimensional and complex/big data time series as well as forecasting in real problems.
The International Work-Conferences on Time Series (ITISE) provide 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.
Presents recent contributions in the field of time series analysis and forecasting Features both theoretical results and applications Brings together experts from various disciplines, from statistics to computer science
Autor*in
Ignacio Rojas
Themen in »Time Series Analysis and Forecasting«
37M10, 62M10, 62-XX, 68-XX, 60-XX, 58-XX, 37-XX time series analysis forecasting applications in computer science applications in econometrics applications in industry big data high-dimensional data on-line learning real-life problems statistical methods for time series machine learning