| 书目名称 | Nonparametric Statistics | | 副标题 | 3rd ISNPS, Avignon, | | 编辑 | Patrice Bertail,Delphine Blanke,Eric Matzner-Løber | | 视频video | | | 概述 | Updates the reader on cutting-edge research in nonparametric statistics.Features the latest findings on high-dimensional data, machine learning, data mining, big data and resampling methods, as well a | | 丛书名称 | Springer Proceedings in Mathematics & Statistics | | 图书封面 |  | | 描述 | .This volume presents the latest advances and trends in nonparametric statistics, and gathers selected and peer-reviewed contributions from the 3rd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Avignon, France on June 11-16, 2016. It covers a broad range of nonparametric statistical methods, from density estimation, survey sampling, resampling methods, kernel methods and extreme values, to statistical learning and classification, both in the standard i.i.d. case and for dependent data, including big data. . .The International Society for Nonparametric Statistics is uniquely global, and its international conferences are intended to foster the exchange of ideas and the latest advances among researchers from around the world, in cooperation with established statistical societies such as the Institute of Mathematical Statistics, the Bernoulli Society and the International Statistical Institute. The 3rd ISNPS conference in Avignonattracted more than 400 researchers from around the globe, and contributed to the further development and dissemination of nonparametric statistics knowledge.. . | | 出版日期 | Conference proceedings 2018 | | 关键词 | Nonparametric statistics; Time series; Statistical learning; Kernel methods; Resampling; Big data; Survey | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-96941-1 | | isbn_ebook | 978-3-319-96941-1Series ISSN 2194-1009 Series E-ISSN 2194-1017 | | issn_series | 2194-1009 | | copyright | Springer Nature Switzerland AG 2018 |
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发表于 2025-3-21 19:40:15
