| 書(shū)目名稱 | Functional and High-Dimensional Statistics and Related Fields | | 編輯 | Germán Aneiros,Ivana Horová,Philippe Vieu | | 視頻video | http://file.papertrans.cn/350/349845/349845.mp4 | | 概述 | Presents the latest advances in functional and high-dimensional statistics.Covers methodological and computational aspects as well as applications.Appeals to a wide audience, from theoretical and comp | | 叢書(shū)名稱 | Contributions to Statistics | | 圖書(shū)封面 |  | | 描述 | .This book presents the latest research on the statistical analysis of functional, high-dimensional and other complex data, addressing methodological and computational aspects, as well as real-world applications. It covers topics like classification, confidence bands, density estimation, depth, diagnostic tests, dimension reduction, estimation on manifolds, high- and infinite-dimensional statistics, inference on functional data, networks, operatorial statistics, prediction, regression, robustness, sequential learning, small-ball probability, smoothing, spatial data, testing, and topological object data analysis, and includes applications in automobile engineering, criminology, drawing recognition, economics, environmetrics, medicine, mobile phone data, spectrometrics and urban environments. ..The book gathers selected, refereed contributions presented at the Fifth International Workshop on Functional and Operatorial Statistics (IWFOS) in Brno, Czech Republic. The workshop was originally to be held on June 24-26, 2020, but had to be postponed as a consequence of the COVID-19 pandemic. Initiated by the Working Group on Functional and Operatorial Statistics at the University of Toulou | | 出版日期 | Conference proceedings 2020 | | 關(guān)鍵詞 | 62-07, 62G05, 62G09, 62G20, 62F12, 62F15, 62F40, 62H25; functional data analysis; high-dimensional sta | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-47756-1 | | isbn_softcover | 978-3-030-47758-5 | | isbn_ebook | 978-3-030-47756-1Series ISSN 1431-1968 Series E-ISSN 2628-8966 | | issn_series | 1431-1968 | | copyright | Springer Nature Switzerland AG 2020 |
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