High Dimensional Probability VII - The Cargese Volume (Hardcover, 1st ed. 2016)

This volume collects selected papers from the 7th High Dimensional Probability meeting held at the Institut d'Etudes Scientifiques de Cargese (IESC) in Corsica, France. 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, and random graphs. 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:	Birkhauser Verlag AG
Country of origin:	Switzerland
Series:	Progress in Probability, 71
Release date:	September 2016
First published:	2016
Editors:	Christian Houdre • David M. Mason • Patricia Reynaud-Bouret • Jan Rosinski
Dimensions:	235 x 155 x 27mm (L x W x T)
Format:	Hardcover
Pages:	461
Edition:	1st ed. 2016
ISBN-13:	978-3-319-40517-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Science & Mathematics > Mathematics > Optimization > General
LSN:	3-319-40517-9
Barcode:	9783319405179

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