书目名称 | High Dimensional Probability VII | 副标题 | The Cargèse Volume | 编辑 | Christian Houdré,David M. Mason,Jan Rosiński | 视频video | | 概述 | Gives a unique view on the mathematical methods used by experts to establish high dimensional results.Displays the wide scope of the types of problems to which these methods can be successfully applie | 丛书名称 | Progress in Probability | 图书封面 |  | 描述 | .This volume collects selected papers from the 7th High Dimensional Probability meeting held at the Institut d‘Études Scientifiques de Cargèse (IESC) in Corsica, France...High Dimensional Probability (HDP) is an area of mathematics that includes the study of probability distributions and limit theorems in infinite-dimensional spaces such as Hilbert spaces and Banach spaces. The most remarkable feature of this area is that it has resulted in the creation of powerful new tools and perspectives, whose range of application has led to interactions with other subfields of mathematics, statistics, and computer science. These include random matrices, nonparametric statistics, empirical processes, statistical learning theory, concentration of measure phenomena, strong and weak approximations, functional estimation, combinatorial optimization, and random graphs..The contributions in this volume show that HDP theory continues to thrive and develop new tools, methods, techniques andperspectives to analyze random phenomena.. | 出版日期 | Conference proceedings 2016 | 关键词 | infinite dimensional spaces; probability higher dimensions; random matrix theory; random phenomena; stoc | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-40519-3 | isbn_softcover | 978-3-319-82121-4 | isbn_ebook | 978-3-319-40519-3Series ISSN 1050-6977 Series E-ISSN 2297-0428 | issn_series | 1050-6977 | copyright | Springer International Publishing Switzerland 2016 |
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