Large Deviations for Random Graphs is popular PDF and ePub book, written by Sourav Chatterjee in 2017-08-31, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Large Deviations for Random Graphs can be Read Online from any device for your convenience.
Large Deviations for Random Graphs Book PDF Summary
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.
Detail Book of Large Deviations for Random Graphs PDF
- Author : Sourav Chatterjee
- Release : 31 August 2017
- Publisher : Springer
- ISBN : 9783319658162
- Genre : Mathematics
- Total Page : 175 pages
- Language : English
- PDF File Size : 14,7 Mb
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