Mod- Convergence - Normality Zones and Precise Deviations (Paperback, 1st ed. 2016)

The canonical way to establish the central limit theorem for i.i.d. random variables is to use characteristic functions and Levy's continuity theorem. This monograph focuses on this characteristic function approach and presents a renormalization theory called mod- convergence. This type of convergence is a relatively new concept with many deep ramifications, and has not previously been published in a single accessible volume. The authors construct an extremely flexible framework using this concept in order to study limit theorems and large deviations for a number of probabilistic models related to classical probability, combinatorics, non-commutative random variables, as well as geometric and number-theoretical objects. Intended for researchers in probability theory, the text is carefully well-written and well-structured, containing a great amount of detail and interesting examples.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Probability and Mathematical Statistics
Release date:	December 2016
First published:	2016
Authors:	Valentin Feray • Pierre-Loic Meliot • Ashkan Nikeghbali
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	152
Edition:	1st ed. 2016
ISBN-13:	978-3-319-46821-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Number theory > General Promotions
LSN:	3-319-46821-9
Barcode:	9783319468211

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