| 书目名称 | Sums and Gaussian Vectors |
| 编辑 | Vadim Vladimirovich Yurinsky |
| 视频video | http://file.papertrans.cn/882/881713/881713.mp4 |
| 丛书名称 | Lecture Notes in Mathematics |
| 图书封面 |  |
| 描述 | Surveys the methods currently applied to study sums of infinite-dimensional independent random vectors in situations where their distributions resemble Gaussian laws. Covers probabilities of large deviations, Chebyshev-type inequalities for seminorms of sums, a method of constructing Edgeworth-type expansions, estimates of characteristic functions for random vectors obtained by smooth mappings of infinite-dimensional sums to Euclidean spaces. A self-contained exposition of the modern research apparatus around CLT, the book is accessible to new graduate students, and can be a useful reference for researchers and teachers of the subject. |
| 出版日期 | Book 1995 |
| 关键词 | Finite; Gaussian measure; Microsoft Access; approximation; character; distribution; function; functions; map |
| 版次 | 1 |
| doi | https://doi.org/10.1007/BFb0092599 |
| isbn_softcover | 978-3-540-60311-5 |
| isbn_ebook | 978-3-540-44791-7Series ISSN 0075-8434 Series E-ISSN 1617-9692 |
| issn_series | 0075-8434 |
| copyright | Springer-Verlag Berlin Heidelberg 1995 |
|Archiver|手机版|小黑屋|
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