High Dimensional Probability VIII The Oaxaca Volume /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Gozlan, Nathael (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Latała, Rafał (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Lounici, Karim (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Madiman, Mokshay (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Birkhäuser, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Progress in Probability, 74
• Θέματα: Probabilities.; Probability Theory and Stochastic Processes.
• Φυσική περιγραφή: X, 458 p. 6 illus., 5 illus. in color. online resource.
• ISBN: 9783030263911
• ISSN: 1050-6977 ;
• DOI: 10.1007/978-3-030-26391-1

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.