CHRISTIAN HOUDRE (23 Ergebnisse)

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Zustand: Sehr gut. 377 Seiten, Zust: Gutes Exemplar. Schneller Versand und persönlicher Service - jedes Buch händisch geprüft und beschrieben - aus unserem Familienbetrieb seit über 25 Jahren. Eine Rechnung mit ausgewiesener Mehrwertsteuer liegt jeder unserer Lieferungen bei. Wir versenden mit der deutschen Post. Sprache: Englisch Gewicht in Gramm: 752 gebundene Ausgabe gebundene Ausgabe.

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hardcover. Zustand: Sehr gut. 387 Seiten; 9783034804899.2 Gewicht in Gramm: 1.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 377 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Hardcover. Zustand: Brand New. 1st edition. 365 pages. 9.00x6.25x1.00 inches. In Stock.

Zustand: New. Concentration inequalities, which express that certain complicated random variables are almost constant, are important in many areas of probability and statistics. Aimed at graduates, postgraduates, and researchers, this volume contains versions of these inequalities, and their relationship to many applications particularly in stochastic analysis. Editor(s): Gine, Evariste; Houdre, Christian; Nualart, David. Series: Progress in Probability. Num Pages: 375 pages, biography. BIC Classification: PBWL. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 235 x 155 x 22. Weight in Grams: 708. . 2003. Hardback. . . . . Books ship from the US and Ireland.

Zustand: New. Editor(s): Houdre, Christian; Rosinski, Jan; Mason, David. Series: Progress in Probability. Num Pages: 489 pages, biography. BIC Classification: PBT; PBU; PBV. Category: (G) General (US: Trade). Dimension: 235 x 155 x 27. Weight in Grams: 895. . 2016. Hardback. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Concentration inequalities, which express the fact that certain complicated random variables are almost constant, have proven of utmost importance in many areas of probability and statistics. This volume contains refined versions of these inequalities, and their relationship to many applications particularly in stochastic analysis. The broad range and the high quality of the contributions make this book highly attractive for graduates, postgraduates and researchers in the above areas.

Buch. Zustand: 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.

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Hardcover. Zustand: Brand New. 492 pages. 9.50x6.50x1.25 inches. In Stock.

Taschenbuch. Zustand: Neu. High Dimensional Probability VI | The Banff Volume | Christian Houdré (u. a.) | Taschenbuch | Progress in Probability | xiii | Englisch | 2015 | Birkhäuser | EAN 9783034807999 | 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.

Taschenbuch. Zustand: 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.

Buch. Zustand: 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.

Hardcover. Zustand: Brand New. 2013 edition. 386 pages. 10.20x6.26x0.08 inches. In Stock.

Zustand: New. 2015. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 118 pages. 9.25x6.10x0.24 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on quantitative approximation results for weak limit theorems when the target limiting law is infinitely divisible with finite first moment. Two methods are presented and developed to obtain such quantitative results. At the root of these methods stands a Stein characterizing identity discussed in the third chapter and obtained thanks to a covariance representation of infinitely divisible distributions. The first method is based on characteristic functions and Stein type identities when the involved sequence of random variables is itself infinitely divisible with finite first moment. In particular, based on this technique, quantitative versions of compound Poisson approximation of infinitely divisible distributions are presented. The second method is a general Stein's method approach for univariate selfdecomposable laws with finite first moment. Chapter 6 is concerned with applications and provides general upper bounds to quantify the rate of convergence in classicalweak limit theorems for sums of independent random variables. This book is aimed at graduate students and researchers working in probability theory and mathematical statistics.