Da: Michener & Rutledge Booksellers, Inc., Baldwin City, KS, U.S.A.
EUR 76,95
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Aggiungi al carrelloHardcover. Condizione: Very Good. Lightly crimped corner, clear plastic coating peeling from cover in a few places, otherwise text clean and tight; no dust jacket; Progress In Probability, 66; 8vo 8" - 9" tall; 387 pages.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 167,86
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 167,86
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EUR 160,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is a collection of papers by participants at High Dimensional Probability VI Meeting held from October 9-14, 2011 at the Banff International Research Station in Banff, Alberta, Canada. 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 areas of mathematics, statistics, and computer science. These include random matrix theory, nonparametric statistics, empirical process theory, statistical learning theory, concentration of measure phenomena, strong and weak approximations, distribution function estimation in high dimensions, combinatorial optimization, and random graph theory. The papers in this volume show that HDP theory continues to develop new tools, methods, techniques and perspectives to analyze the random phenomena. Both researchers and advanced students will find this book of great use for learning about new avenues of research.
EUR 160,49
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is a collection of papers by participants at High Dimensional Probability VI Meeting held from October 9-14, 2011 at the Banff International Research Station in Banff, Alberta, Canada. 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 areas of mathematics, statistics, and computer science. These include random matrix theory, nonparametric statistics, empirical process theory, statistical learning theory, concentration of measure phenomena, strong and weak approximations, distribution function estimation in high dimensions, combinatorial optimization, and random graph theory. The papers in this volume show that HDP theory continues to develop new tools, methods, techniques and perspectives to analyze the random phenomena. Both researchers and advanced students will find this book of great use for learning about new avenues of research.
Da: California Books, Miami, FL, U.S.A.
EUR 193,35
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Da: California Books, Miami, FL, U.S.A.
EUR 193,35
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 156,89
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 157,29
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Da: Best Price, Torrance, CA, U.S.A.
EUR 148,39
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EUR 233,50
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2013 edition. 386 pages. 10.20x6.26x0.08 inches. In Stock.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 262,85
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Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.