| Dewey Class |
519.2 |
| Title |
High Dimensional Probability VII ([EBook]) : The Cargèse Volume / / edited by Christian Houdré, David M. Mason, Patricia Reynaud-Bouret, Jan Rosiński. |
| Added Personal Name |
Houdré, Christian editor. |
| Mason, David M. editor. |
| Reynaud-Bouret, Patricia editor. |
| Rosiński, Jan editor. |
| Other name(s) |
SpringerLink (Online service) |
| Publication |
Cham : : Springer International Publishing : : Imprint: Birkhäuser, , 2016. |
| Physical Details |
XXVIII, 461 p. : online resource. |
| Series |
Progress in probability 1050-6977 ; ; 71 |
| ISBN |
9783319405193 |
| Summary Note |
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.: |
| Contents note |
Dedication to Evarist Gine-Masdeu -- Inequalities and Convexity -- Limit Theorems -- Stochastic Processes -- High Dimensional Statistics. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users) |
| Internet Site |
http://dx.doi.org/10.1007/978-3-319-40519-3 |
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