Synopsis
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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High Dimensional Probability VIII: The Oaxaca Volume (Progress in Probability, 74)
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High Dimensional Probability VIII
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Springer International Publishing Nov 2019, 2019
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 468 pp. Englisch. N° de réf. du vendeur 9783030263904
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High Dimensional Probability VIII: The Oaxaca Volume (Progress in Probability, 74)
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High Dimensional Probability VIII
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Springer International Publishing, 2019
ISBN 10 : 3030263908
ISBN 13 : 9783030263904
Neuf
Couverture rigide
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High Dimensional Probability VIII : The Oaxaca Volume
Edité par
Springer International Publishing, 2019
ISBN 10 : 3030263908
ISBN 13 : 9783030263904
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783030263904
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High Dimensional Probability VIII | The Oaxaca Volume
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Buch. Etat : Neu. High Dimensional Probability VIII | The Oaxaca Volume | Nathael Gozlan (u. a.) | Buch | x | Englisch | 2019 | Springer | EAN 9783030263904 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 116826340
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High Dimensional Probability VIII
ISBN 10 : 3030263908
ISBN 13 : 9783030263904
Neuf
Couverture rigide
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Buch. Etat : Neu. Neuware -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.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 468 pp. Englisch. N° de réf. du vendeur 9783030263904
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High Dimensional Probability VIII: The Oaxaca Volume (Progress in Probability)
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Hardcover. Etat : Brand New. 468 pages. 9.25x6.10x1.00 inches. In Stock. N° de réf. du vendeur x-3030263908
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