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High Dimensional Probability VII

The Cargese Volume

Christian Houdré

David M. Mason

Patricia Reynaud-Bouret

Jan Rosinski

Lingua

Inglese

Libro Rigido

Codice Libristo: 10929243

Casa editrice Birkhauser, settembre 2016

This volume collects selected papers from the 7th High Dimensional Probability meeting held at the I... Descrizione completa

Codice Libristo: 10929243

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