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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 andperspectives to analyze random phenomena.
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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.
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High Dimensional Probability VII
Editore:
Springer International Publishing, 2018
ISBN 10: 3319821210
ISBN 13: 9783319821214
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Gives a unique view on the mathematical methods used by experts to establish high dimensional resultsDisplays the wide scope of the types of problems to which these methods can be successfully appliedProvid. Codice articolo 448756804
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High Dimensional Probability VII
Editore:
Springer International Publishing Jun 2018, 2018
ISBN 10: 3319821210
ISBN 13: 9783319821214
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 492 pp. Englisch. Codice articolo 9783319821214
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High Dimensional Probability VII : The Cargèse Volume
ISBN 10: 3319821210
ISBN 13: 9783319821214
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 andperspectives to analyze random phenomena. Codice articolo 9783319821214
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High Dimensional Probability VII
ISBN 10: 3319821210
ISBN 13: 9783319821214
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -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 andperspectives to analyze random phenomena.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 492 pp. Englisch. Codice articolo 9783319821214
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High Dimensional Probability VII: The Carg?se Volume (Progress in Probability (71))
Editore:
Springer (India) Private Limited, 2018
ISBN 10: 3319821210
ISBN 13: 9783319821214
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Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 489. Codice articolo 26383979985
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High Dimensional Probability VII: The Carg?se Volume (Progress in Probability (71))
Editore:
Springer (India) Private Limited, 2018
ISBN 10: 3319821210
ISBN 13: 9783319821214
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Da: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Print on Demand pp. 489. Codice articolo 378842638
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High Dimensional Probability VII: The Carg?se Volume (Progress in Probability (71))
Editore:
Springer (India) Private Limited, 2018
ISBN 10: 3319821210
ISBN 13: 9783319821214
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND pp. 489. Codice articolo 18383979995
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High Dimensional Probability VII: The Cargèse Volume (Progress in Probability, 71)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Condizione: New. Codice articolo ABLIING23Mar3113020107984
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High Dimensional Probability VII: The Cargèse Volume (Progress in Probability, 71)
Da: Mispah books, Redhill, SURRE, Regno Unito
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Paperback. Condizione: New. New. book. Codice articolo ERICA79633198212106
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