High Dimensional Probability VII

The Cargèse Volume - Previously published in hardcover

von

Herausgegeben:Houdré, ChristianMason, David M.Reynaud-Bouret, PatriciaRosinski, Jan

BuchKartoniert, Paperback

461 Seiten

Englisch

Springererschienen am16.06.2018Softcover reprint of the original 1st ed. 2016

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 andperspectives to analyze random phenomena.mehr

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KlappentextThis 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 andperspectives to analyze random phenomena.

Details

ISBN/GTIN978-3-319-82121-4

ProduktartBuch

EinbandartKartoniert, Paperback

Verlag

Springer

Erscheinungsjahr2018

Erscheinungsdatum16.06.2018

AuflageSoftcover reprint of the original 1st ed. 2016

ReiheProgress in Probability

Seiten461 Seiten

SpracheEnglisch