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Titlebook: Change Point Analysis for Time Series; Lajos Horváth,Gregory Rice Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusi

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发表于 2025-3-21 18:47:53 | 显示全部楼层 |阅读模式
书目名称Change Point Analysis for Time Series
编辑Lajos Horváth,Gregory Rice
视频videohttp://file.papertrans.cn/224/223708/223708.mp4
概述Provides a comprehensive review of asymptotic methods in change point analysis for time series.Extends classical change point methods to the modern settings of high--dimensional, functional, and heter
丛书名称Springer Series in Statistics
图书封面Titlebook: Change Point Analysis for Time Series;  Lajos Horváth,Gregory Rice Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusi
描述This volume provides a comprehensive survey that covers various modern methods used for detecting and estimating change points in time series and their models. The book primarily focuses on asymptotic theory and practical applications of change point analysis. The methods discussed in the book go beyond the traditional change point methods for univariate and multivariate series. It also explores techniques for handling heteroscedastic series, high-dimensional series, and functional data. While the primary emphasis is on retrospective change point analysis, the book also presents sequential "on-line" methods for detecting change points in real-time scenarios. Each chapter in the book includes multiple data examples that illustrate the practical application of the developed results. These examples cover diverse fields such as economics, finance, environmental studies, and health data analysis. To reinforce the understanding of the material, each chapter concludes with several exercises.Additionally, the book provides a discussion of background literature, allowing readers to explore further resources for in-depth knowledge on specific topics. Overall, "Change Point Analysis for Time
出版日期Book 2024
关键词Change Point Analysis; Time Series; ARMA; GARCH; Dynamic Linear Models; Heteroscedastic Time Series; Funct
版次1
doihttps://doi.org/10.1007/978-3-031-51609-2
isbn_softcover978-3-031-51611-5
isbn_ebook978-3-031-51609-2Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-21 22:38:09 | 显示全部楼层
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Lajos Horváth,Gregory RiceProvides a comprehensive review of asymptotic methods in change point analysis for time series.Extends classical change point methods to the modern settings of high--dimensional, functional, and heter
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https://doi.org/10.1007/978-981-16-2442-1A crucial step in approximating the distribution of the CUSUM statistics introduced in Chaps. . and . is estimating the variance parameter . describing the limiting variance of the partial sum of the observations under Assumption ..
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https://doi.org/10.1007/3-540-28333-1oaches to detect such a change point lead to the consideration of weighted functionals of the cumulative sum (CUSUM) processes computed from the observed data. As such, we begin by developing a comprehensive asymptotic theory for CUSUM processes under conditions that allow for serial dependence in t
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The Identified Local Characteristics,ve generally taken into consideration potential serial dependence in the observations under study, in this chapter we are concerned with detecting change points in the parameters for models specifically designed to capture the serial dependence structure of a time series.
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