High Dimensional Probability II, Evarist Gin?; David M. Mason; Jon A. Wellner

Автор: Koralov
Название: Theory of Probability and Random Processes
ISBN: 3540254846 ISBN-13(EAN): 9783540254843
Издательство: Springer
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Цена: 55890.00 T
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Описание: A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this bookIt is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. The second part includes the theory of stationary random processes, martingales, generalized random processes, Brownian motion, stochastic integrals, and stochastic differential equations. One section is devoted to the theory of Gibbs random fields.This material is essential to many undergraduate and graduate courses. The book can also serve as a reference for scientists using modern probability theory in their research.

Автор: Durrett, Rick
Название: Elementary probability for applications
ISBN: 0521867568 ISBN-13(EAN): 9780521867566
Издательство: Cambridge Academ
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Цена: 70740.00 T
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Описание: This is a perfect one-semester introduction to probability, for students who are familiar with basic calculus. The lively style reflects the author`s philosophy that the best way to learn probability is to see it in action, and he gives over 200 examples from genetics, sports, finance, and current events.

Автор: Eric Gautier and Pierre Alquier
Название: Inverse problems and high-dimensional estimation
ISBN: 3642199887 ISBN-13(EAN): 9783642199882
Издательство: Springer
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Цена: 102480.00 T
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Описание: The product of a high-flying summer school in Paris in 2009, this volume synthesises the state of the art on ill-posed statistical inverse problems and high-dimensional estimation and explores the ways these techniques can be applied to economics.

Автор: Chaumont
Название: Exercises in Probability
ISBN: 1107606551 ISBN-13(EAN): 9781107606555
Издательство: Cambridge Academ
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Цена: 59130.00 T
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Описание: Ideal for independent study or as a companion to a course in advanced probability theory, this book now includes over 100 exercises. In each case, the authors provide a detailed solution and references for preliminary and further reading. Insightful notes help to set the exercises in context.

Автор: Houdr?
Название: High Dimensional Probability VII
ISBN: 3319405179 ISBN-13(EAN): 9783319405179
Издательство: Springer
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Цена: 135090.00 T
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Описание: This volume collects selected papers from the 7th High Dimensional Probability meeting held at the Institut d'?tudes Scientifiques de Carg?se (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.

Автор: Christian Houdr?; David M. Mason; Jan Rosi?ski; Jo
Название: High Dimensional Probability VI
ISBN: 3034807996 ISBN-13(EAN): 9783034807999
Издательство: Springer
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Цена: 111790.00 T
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Описание: 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.

Автор: Joergen Hoffmann-Joergensen; Michael B. Marcus; Jo
Название: High Dimensional Probability III
ISBN: 3764321873 ISBN-13(EAN): 9783764321871
Издательство: Springer
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Цена: 149060.00 T
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Описание: The title High Dimensional Probability is used to describe the many tributaries of research on Gaussian processes and probability in Banach spaces that started in the early 1970s.

Автор: Joergen Hoffmann-Joergensen; Michael B. Marcus; Jo
Название: High Dimensional Probability III
ISBN: 3034894236 ISBN-13(EAN): 9783034894234
Издательство: Springer
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Цена: 93160.00 T
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Описание: The title High Dimensional Probability is used to describe the many tributaries of research on Gaussian processes and probability in Banach spaces that started in the early 1970s.

Автор: Ernst Eberlein; Marjorie Hahn
Название: High Dimensional Probability
ISBN: 3034897901 ISBN-13(EAN): 9783034897907
Издательство: Springer
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Цена: 139750.00 T
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Описание: Roughly speaking, before 1970, the Gaussian processes that were studied were indexed by a subset of Euclidean space, mostly with dimension at most three. The index set was no longer considered as a subset of Euclidean space, but simply as a metric space with the metric canonically induced by the process.

Автор: Ouerdiane Habib Et Al
Название: Quantum Probability And Infinite Dimensional Analysis - Proceedings Of The 29Th Conference
ISBN: 9814295426 ISBN-13(EAN): 9789814295420
Издательство: World Scientific Publishing
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Цена: 152070.00 T
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Описание: Includes the proceedings of the 29th Conference on Quantum Probability and Infinite Dimensional Analysis, which was held in Hammamet, Tunisia.

Автор: Luigi Accardi; Hui-Hsiung Kuo; Nobuaki Obata; Kimi
Название: Recent Developments in Infinite-Dimensional Analysis and Quantum Probability
ISBN: 0792370163 ISBN-13(EAN): 9780792370161
Издательство: Springer
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Цена: 149030.00 T
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Описание: Contains articles which provides an account of developments in contemporary white noise analysis and some of its applications. This book emphasises the connections of white noise analysis with branches of contemporary probability, including stochastic geometry, the structure theory of stationary Gaussian processes, and large deviations.

Автор: Koch
Название: Analysis of Multivariate and High-Dimensional Data
ISBN: 0521887933 ISBN-13(EAN): 9780521887939
Издательство: Cambridge Academ
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Цена: 70750.00 T
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Описание: `Big data` poses challenges that require both classical multivariate methods and modern machine-learning techniques. This coherent treatment integrates theory with data analysis, visualisation and interpretation of the analysis. Problems, data sets and MATLAB (R) code complete the package. It is suitable for master`s/graduate students in statistics and working scientists in data-rich disciplines.