High Dimensional Probability VII

The Cargèse Volume
Softcover Nachdruck of the original 1. Auflage 2016
ISBN: 978-3-319-82121-4
Verlag: Springer International Publishing

Buch, Englisch, Band 71, 461 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 739 g

Reihe: Progress in Probability

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.

Zielgruppe

Research

Autoren/Hrsg.

Houdré, Christian

Rosi¿ski, Jan

Mason, David M.

Reynaud-Bouret, Patricia

Rosinski, Jan

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung

Inhaltsverzeichnis

Dedication to Evarist Gine-Masdeu.- Inequalities and Convexity.- Limit Theorems.- Stochastic Processes.- High Dimensional Statistics.