Overview
- First of its kind publication detailing the mod-? convergence method
- Written by leading experts in probability theory
- Provides a large number of new results
- Includes new examples coming from various areas of mathematics such as probability theory, number theory, combinatorics, and random matrix theory
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Probability and Mathematical Statistics (SBPMS)
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Table of contents (11 chapters)
Keywords
About this book
Intended for researchers in probability theory, the text is carefully well-written and well-structured, containing a great amount of detail and interesting examples.
Reviews
“This beautiful book (together with other publications by these authors) opens a new way of proving limit theorems in probability theory and related areas such as probabilistic number theory, combinatorics, and statistical mechanics. It will be useful to researchers in these and many other areas.” (Zakhar Kabluchko, Mathematical Reviews, September, 2017)
Authors and Affiliations
Bibliographic Information
Book Title: Mod-ϕ Convergence
Book Subtitle: Normality Zones and Precise Deviations
Authors: Valentin Féray, Pierre-Loïc Méliot, Ashkan Nikeghbali
Series Title: SpringerBriefs in Probability and Mathematical Statistics
DOI: https://doi.org/10.1007/978-3-319-46822-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s) 2016
Softcover ISBN: 978-3-319-46821-1Published: 16 December 2016
eBook ISBN: 978-3-319-46822-8Published: 06 December 2016
Series ISSN: 2365-4333
Series E-ISSN: 2365-4341
Edition Number: 1
Number of Pages: XII, 152
Number of Illustrations: 8 b/w illustrations, 9 illustrations in colour
Topics: Probability Theory and Stochastic Processes, Number Theory, Combinatorics, Linear and Multilinear Algebras, Matrix Theory