High Dimensional Probability VII

The Cargèse Volume

David M Mason editor Christian Houdre editor Jan Rosinski editor Patricia Reynaud-Bouret editor

Format:Paperback

Publisher:Birkhauser Verlag AG

Published:16th Jun '18

Currently unavailable, and unfortunately no date known when it will be back

High Dimensional Probability VII cover

This volume collects selected papers from the 7th High Dimensional Probability meeting held at the Institut d'Études Scientifiques de Cargèse (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.

ISBN: 9783319821214

Dimensions: unknown

Weight: 747g

461 pages

Softcover reprint of the original 1st ed. 2016