Produktnummer:
182c8eb9fbf5024cc5831bb2326bc4cb2e
Themengebiete: | Banach spaces Hilbert spaces empirical processes functional estimation high dimensional probability infinite-dimensional spaces limit theorems nonparametric statistics random graphs random matrices |
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Veröffentlichungsdatum: | 27.11.2020 |
EAN: | 9783030263935 |
Sprache: | Englisch |
Seitenzahl: | 458 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Gozlan, Nathael Latala, Rafal Lounici, Karim Madiman, Mokshay |
Verlag: | Springer International Publishing |
Untertitel: | The Oaxaca Volume |
Produktinformationen "High Dimensional Probability VIII"
This volume collects selected papers from the 8th High Dimensional Probability meeting held at Casa Matemática Oaxaca (CMO), Mexico.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, random graphs, information theory and convex geometry.The contributions in this volume show that HDP theory continues to thrive and develop new tools, methods, techniques and perspectives to analyze random phenomena.

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