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International Workshop on Industry Practices for Forecasting

The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecasting in industry. Forecasting and time series prediction have enjoyed considerable attention over the last few decades, fostered by impressive...

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Detalles Bibliográficos
Autores principales: Antoniadis, Anestis, Poggi, Jean-Michel, Brossat, Xavier
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-18732-7
http://cds.cern.ch/record/2032380
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author Antoniadis, Anestis
Poggi, Jean-Michel
Brossat, Xavier
author_facet Antoniadis, Anestis
Poggi, Jean-Michel
Brossat, Xavier
author_sort Antoniadis, Anestis
collection CERN
description The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecasting in industry. Forecasting and time series prediction have enjoyed considerable attention over the last few decades, fostered by impressive advances in observational capabilities and measurement procedures. On June 5-7, 2013, an international Workshop on Industry Practices for FORecasting was held in Paris, France, organized and supported by the OSIRIS Department of Electricité de France Research and Development Division. In keeping with tradition, both theoretical statistical results and practical contributions on this active field of statistical research and on forecasting issues in a rapidly evolving industrial environment are presented. The volume reflects the broad spectrum of the conference, including 16 articles contributed by specialists in various areas. The material compiled is broad in scope and ranges from new findings on forecasting in industry and in time series, on nonparametric and functional methods, and on on-line machine learning for forecasting, to the latest developments in tools for high dimension and complex data analysis.
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spelling cern-20323802021-04-22T06:48:25Zdoi:10.1007/978-3-319-18732-7http://cds.cern.ch/record/2032380engAntoniadis, AnestisPoggi, Jean-MichelBrossat, XavierInternational Workshop on Industry Practices for ForecastingMathematical Physics and MathematicsThe chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecasting in industry. Forecasting and time series prediction have enjoyed considerable attention over the last few decades, fostered by impressive advances in observational capabilities and measurement procedures. On June 5-7, 2013, an international Workshop on Industry Practices for FORecasting was held in Paris, France, organized and supported by the OSIRIS Department of Electricité de France Research and Development Division. In keeping with tradition, both theoretical statistical results and practical contributions on this active field of statistical research and on forecasting issues in a rapidly evolving industrial environment are presented. The volume reflects the broad spectrum of the conference, including 16 articles contributed by specialists in various areas. The material compiled is broad in scope and ranges from new findings on forecasting in industry and in time series, on nonparametric and functional methods, and on on-line machine learning for forecasting, to the latest developments in tools for high dimension and complex data analysis.Springeroai:cds.cern.ch:20323802015
spellingShingle Mathematical Physics and Mathematics
Antoniadis, Anestis
Poggi, Jean-Michel
Brossat, Xavier
International Workshop on Industry Practices for Forecasting
title International Workshop on Industry Practices for Forecasting
title_full International Workshop on Industry Practices for Forecasting
title_fullStr International Workshop on Industry Practices for Forecasting
title_full_unstemmed International Workshop on Industry Practices for Forecasting
title_short International Workshop on Industry Practices for Forecasting
title_sort international workshop on industry practices for forecasting
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-18732-7
http://cds.cern.ch/record/2032380
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