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Titlebook: Sums and Gaussian Vectors; Vadim Vladimirovich Yurinsky Book 1995 Springer-Verlag Berlin Heidelberg 1995 Finite.Gaussian measure.Microsoft

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书目名称Sums and Gaussian Vectors
编辑Vadim Vladimirovich Yurinsky
视频video
丛书名称Lecture Notes in Mathematics
图书封面Titlebook: Sums and Gaussian Vectors;  Vadim Vladimirovich Yurinsky Book 1995 Springer-Verlag Berlin Heidelberg 1995 Finite.Gaussian measure.Microsoft
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
doihttps://doi.org/10.1007/BFb0092599
isbn_softcover978-3-540-60311-5
isbn_ebook978-3-540-44791-7Series ISSN 0075-8434 Series E-ISSN 1617-9692
issn_series 0075-8434
copyrightSpringer-Verlag Berlin Heidelberg 1995
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发表于 2025-3-21 21:21:44 | 显示全部楼层
Book 1995expansions, 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.
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0075-8434 ns 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 s
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https://doi.org/10.1007/BFb0092599Finite; Gaussian measure; Microsoft Access; approximation; character; distribution; function; functions; map
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978-3-540-60311-5Springer-Verlag Berlin Heidelberg 1995
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