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Large deviations for random graphs =...

Chatterjee, Sourav.

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Large deviations for random graphs = Ecole d'Ete de Probabilites de Saint-Flour XLV - 2015 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Large deviations for random graphs/ by Sourav Chatterjee.
其他題名:	Ecole d'Ete de Probabilites de Saint-Flour XLV - 2015 /
作者:	Chatterjee, Sourav.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xi, 170 p. :ill., digital ;24 cm.
內容註:	1. Introduction -- 2. Preparation -- 3. Basics of graph limit theory -- 4. Large deviation preliminaries -- 5. Large deviations for dense random graphs -- 6. Applications of dense graph large deviations -- 7. Exponential random graph models -- 8. Large deviations for sparse graphs -- Index.
Contained By:	Springer eBooks
標題:	Random graphs - Congresses. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-65816-2
ISBN:	9783319658162

Large deviations for random graphs = Ecole d'Ete de Probabilites de Saint-Flour XLV - 2015 /
Chatterjee, Sourav.

Large deviations for random graphsEcole d'Ete de Probabilites de Saint-Flour XLV - 2015 /[electronic resource] :by Sourav Chatterjee. - Cham :Springer International Publishing :2017. - xi, 170 p. :ill., digital ;24 cm. - Lecture notes in mathematics,21970075-8434 ;. - Lecture notes in mathematics ;2197..

1. Introduction -- 2. Preparation -- 3. Basics of graph limit theory -- 4. Large deviation preliminaries -- 5. Large deviations for dense random graphs -- 6. Applications of dense graph large deviations -- 7. Exponential random graph models -- 8. Large deviations for sparse graphs -- Index.

This book addresses the emerging body of literature on the study of rare events in random graphs and networks. For example, what does a random graph look like if by chance it has far more triangles than expected? Until recently, probability theory offered no tools to help answer such questions. Important advances have been made in the last few years, employing tools from the newly developed theory of graph limits. This work represents the first book-length treatment of this area, while also exploring the related area of exponential random graphs. All required results from analysis, combinatorics, graph theory and classical large deviations theory are developed from scratch, making the text self-contained and doing away with the need to look up external references. Further, the book is written in a format and style that are accessible for beginning graduate students in mathematics and statistics.

ISBN: 9783319658162

Standard No.: 10.1007/978-3-319-65816-2doiSubjects--Topical Terms:

1636138
Random graphs
--Congresses.

LC Class. No.: QA166.17

Dewey Class. No.: 511.5

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