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Titlebook: Probability Theory; Alexandr A. Borovkov Textbook 2013 Springer-Verlag London Ltd., part of Springer Nature 2013 Ergodicity.Large Deviatio

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發(fā)表于 2025-3-21 17:20:31 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Probability Theory
編輯Alexandr A. Borovkov
視頻videohttp://file.papertrans.cn/757/756889/756889.mp4
概述Presents a wide range of results in logic and computational complexity.Explains the topic informally and then in more detail for the advanced reader.Presents the ideas behind the theoretical concepts.
叢書名稱Universitext
圖書封面Titlebook: Probability Theory; Alexandr A. Borovkov Textbook 2013 Springer-Verlag London Ltd., part of Springer Nature 2013 Ergodicity.Large Deviatio
描述.This self-contained, comprehensive book tackles the principal problems and advanced questions of probability theory and random processes in 22 chapters, presented in a logical order but also suitable for dipping into. They include both classical and more recent results, such as large deviations theory, factorization identities, information theory, stochastic recursive sequences. The book is further distinguished by the inclusion of clear and illustrative proofs of the fundamental results that comprise many methodological improvements aimed at simplifying the arguments and making them more transparent..The importance of the Russian school in the development of probability theory has long been recognized. This book is the translation of the fifth edition of the highly successful Russian textbook. This edition includes a number of new sections, such as a new chapter on large deviation theory for random walks, which are of both theoretical and applied interest. The frequent references to Russian literature throughout this work lend a fresh dimension and make it an invaluable source of reference for Western researchers and advanced students in probability related subjects..Probability
出版日期Textbook 2013
關(guān)鍵詞Ergodicity; Large Deviations; Limit Theorems; Markov Chains; Martingales; Probability Theory; Random Proce
版次1
doihttps://doi.org/10.1007/978-1-4471-5201-9
isbn_softcover978-1-4471-5200-2
isbn_ebook978-1-4471-5201-9Series ISSN 0172-5939 Series E-ISSN 2191-6675
issn_series 0172-5939
copyrightSpringer-Verlag London Ltd., part of Springer Nature 2013
The information of publication is updating

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發(fā)表于 2025-3-21 20:39:03 | 只看該作者
Alexandr A. Borovkovaturally due to the relationships built between people on a daily basis. We believe that the opinion exchange among individuals is a key factor to this community construction, given that sharing opinions bounds people together, and disagreeing constantly would probably weaken a relationship. In this
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發(fā)表于 2025-3-22 01:06:03 | 只看該作者
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發(fā)表于 2025-3-22 05:11:48 | 只看該作者
Alexandr A. Borovkovaturally due to the relationships built between people on a daily basis. We believe that the opinion exchange among individuals is a key factor to this community construction, given that sharing opinions bounds people together, and disagreeing constantly would probably weaken a relationship. In this
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發(fā)表于 2025-3-22 12:34:28 | 只看該作者
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Alexandr A. Borovkovwork. It is known that social networks exhibit the (first-order) assortative mixing, i.e.?if two nodes are connected, they tend to have similar node degrees, suggesting that people tend to mix with those of comparable prominence. In this paper, we report the . assortative mixing in social networks.
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發(fā)表于 2025-3-22 17:02:28 | 只看該作者
Alexandr A. Borovkovwork. It is known that social networks exhibit the (first-order) assortative mixing, i.e.?if two nodes are connected, they tend to have similar node degrees, suggesting that people tend to mix with those of comparable prominence. In this paper, we report the . assortative mixing in social networks.
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發(fā)表于 2025-3-22 21:14:25 | 只看該作者
Alexandr A. Borovkovwork. It is known that social networks exhibit the (first-order) assortative mixing, i.e.?if two nodes are connected, they tend to have similar node degrees, suggesting that people tend to mix with those of comparable prominence. In this paper, we report the . assortative mixing in social networks.
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