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
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