High Dimensional Probability VIII - The Oaxaca Volume (Paperback, 1st ed. 2019)

This volume collects selected papers from the 8th High Dimensional Probability meeting held at Casa Matematica Oaxaca (CMO), Mexico. High Dimensional Probability (HDP) is an area of mathematics that includes the study of probability distributions and limit theorems in infinite-dimensional spaces such as Hilbert spaces and Banach spaces. The most remarkable feature of this area is that it has resulted in the creation of powerful new tools and perspectives, whose range of application has led to interactions with other subfields of mathematics, statistics, and computer science. These include random matrices, nonparametric statistics, empirical processes, statistical learning theory, concentration of measure phenomena, strong and weak approximations, functional estimation, combinatorial optimization, random graphs, information theory and convex geometry. The contributions in this volume show that HDP theory continues to thrive and develop new tools, methods, techniques and perspectives to analyze random phenomena.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Progress in Probability, 74
Release date:	November 2020
First published:	2019
Editors:	Nathael Gozlan • Rafal Latala • Karim Lounici • Mokshay Madiman
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	458
Edition:	1st ed. 2019
ISBN-13:	978-3-03-026393-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Promotions
LSN:	3-03-026393-2
Barcode:	9783030263935

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