High Dimensional Probability VII

The Cargèse Volume de

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Éditeur :

Birkhäuser


Collection :

Progress in Probability

Paru le : 2016-09-21

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Description

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.
Pages
461 pages
Collection
Progress in Probability
Parution
2016-09-21
Marque
Birkhäuser
EAN papier
9783319405179
EAN PDF
9783319405193

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
46
Taille du fichier
6072 Ko
Prix
94,94 €
EAN EPUB
9783319405193

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
46
Taille du fichier
7178 Ko
Prix
94,94 €