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Titlebook: Probability Theory; An Introductory Cour Yakov G. Sinai Textbook 19921st edition Springer-Verlag Berlin Heidelberg 1992 Probability theory.

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發(fā)表于 2025-3-21 19:45:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Probability Theory
副標(biāo)題An Introductory Cour
編輯Yakov G. Sinai
視頻videohttp://file.papertrans.cn/757/756887/756887.mp4
叢書名稱Springer Textbook
圖書封面Titlebook: Probability Theory; An Introductory Cour Yakov G. Sinai Textbook 19921st edition Springer-Verlag Berlin Heidelberg 1992 Probability theory.
描述Sinai‘s book leads the student through the standard materialfor ProbabilityTheory, with stops along the way forinteresting topics such as statistical mechanics, notusually included in a book for beginners.The first part of the book covers discrete random variables,using the same approach, basedon Kolmogorov‘s axioms forprobability, used later for the generalcase.The text is divided into sixteen lectures, each covering amajortopic. The introductory notions and classical resultsare included, ofcourse: random variables, the central limittheorem, the law of large numbers, conditional probability,random walks, etc. Sinai‘s style is accessible and clear,with interesting examples to accompany newideas.Besides statistical mechanics, other interesting, lesscommontopics found in the book are: percolation, theconcept of stability in thecentral limit theorem and thestudy of probability of large deviations.Little more than a standard undergraduate course in analysisis assumed of the reader. Notions from measure theoryandLebesgue integration are introduced in the second half ofthe text.The book is suitable for second or third year studentsinmathematics, physics or other natural sciences. It coul
出版日期Textbook 19921st edition
關(guān)鍵詞Probability theory; Random variable; Wahrscheinlichkeit; Wahrscheinlichkeitstheorie; conditional probabi
版次1
doihttps://doi.org/10.1007/978-3-662-02845-2
isbn_ebook978-3-662-02845-2Series ISSN 1431-8512
issn_series 1431-8512
copyrightSpringer-Verlag Berlin Heidelberg 1992
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Textbook 19921st editionations.Little more than a standard undergraduate course in analysisis assumed of the reader. Notions from measure theoryandLebesgue integration are introduced in the second half ofthe text.The book is suitable for second or third year studentsinmathematics, physics or other natural sciences. It coul
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Yakov G. Sinaiore etc.) could be considered as distance. In our analysis, we have primarily used degree centrality to denote the mass of the nodes, while the lengths of shortest paths between them have been used as distances. In this study we compare the proposed link prediction approach to 7 other methods on 4 d
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Yakov G. Sinaiore etc.) could be considered as distance. In our analysis, we have primarily used degree centrality to denote the mass of the nodes, while the lengths of shortest paths between them have been used as distances. In this study we compare the proposed link prediction approach to 7 other methods on 4 d
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Yakov G. Sinais. We use SPA to model, the spread of hate as one single form while . captures the spread of multiple hate forms. We also propose ways to detect hateful forms by using latent topics present in hateful content. We empirically demonstrate our approach to a dataset from Twitter that contains ample hate
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