Modeling and Stochastic Learning for Forecasting in High Dimensions

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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Những tác giả chính:	Antoniadis, Anestis, Poggi, Jean-Michel, Brossat, Xavier
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	Springer 2015
Những chủ đề:	Stochastic models Time-series analysis Forecasting
Truy cập trực tuyến:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58501
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spelling	oai:scholar.dlu.edu.vn:DLU123456789-585012023-11-11T06:10:31Z Modeling and Stochastic Learning for Forecasting in High Dimensions Antoniadis, Anestis Poggi, Jean-Michel Brossat, Xavier Stochastic models Time-series analysis 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 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. 2015-09-25T01:34:47Z 2015-09-25T01:34:47Z 2015 Book 978-3-319-18732-7 978-3-319-18731-0 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58501 en application/pdf Springer
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
topic	Stochastic models Time-series analysis Forecasting
spellingShingle	Stochastic models Time-series analysis Forecasting Antoniadis, Anestis Poggi, Jean-Michel Brossat, Xavier Modeling and Stochastic Learning for Forecasting in High Dimensions
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.
format	Book
author	Antoniadis, Anestis Poggi, Jean-Michel Brossat, Xavier
author_facet	Antoniadis, Anestis Poggi, Jean-Michel Brossat, Xavier
author_sort	Antoniadis, Anestis
title	Modeling and Stochastic Learning for Forecasting in High Dimensions
title_short	Modeling and Stochastic Learning for Forecasting in High Dimensions
title_full	Modeling and Stochastic Learning for Forecasting in High Dimensions
title_fullStr	Modeling and Stochastic Learning for Forecasting in High Dimensions
title_full_unstemmed	Modeling and Stochastic Learning for Forecasting in High Dimensions
title_sort	modeling and stochastic learning for forecasting in high dimensions
publisher	Springer
publishDate	2015
url	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58501
_version_	1819768102227804160

Modeling and Stochastic Learning for Forecasting in High Dimensions

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