Weak convergence and empirical processes, Vaart, Aad Van Der Wellner, Jon A.
Автор: Gallager Название: Stochastic Processes ISBN: 1107039754 ISBN-13(EAN): 9781107039759 Издательство: Cambridge Academ Рейтинг: Цена: 11246.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.
Автор: D. Pollard Название: Convergence of Stochastic Processes ISBN: 1461297583 ISBN-13(EAN): 9781461297581 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A more accurate title for this book might be: An Exposition of Selected Parts of Empirical Process Theory, With Related Interesting Facts About Weak Convergence, and Applications to Mathematical Statistics. The material is somewhat arbitrarily divided into results used to prove consistency theorems and results used to prove central limit theorems.
Автор: P. Gaenssler; Stute Название: Seminar on Empirical Processes ISBN: 3764319216 ISBN-13(EAN): 9783764319212 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Olavi Nevanlinna Название: Convergence of Iterations for Linear Equations ISBN: 3764328657 ISBN-13(EAN): 9783764328658 Издательство: Springer Рейтинг: Цена: 4884.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discussing the convergence of Krylov subspace methods for solving fixed point problems, this work focuses on the dynamical aspects of the iteration processes and outlines all the phases of a lifespan of an iteration.
Автор: Christian P. Robert Название: Discretization and MCMC Convergence Assessment ISBN: 0387985913 ISBN-13(EAN): 9780387985916 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The development of Markov Chain in Monte Carlo Methods allow Bayesian statisticians to perform computations that were impossible just a few years ago. This book is of interest to researchers in this active area.
Автор: Emmanuel Rio Название: Asymptotic Theory of Weakly Dependent Random Processes ISBN: 3662543222 ISBN-13(EAN): 9783662543221 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Ces notes sont consacr es aux in galit s et aux th or mes limites classiques pour les suites de variables al atoires absolument r guli res ou fortement m langeantes au sens de Rosenblatt. Le but poursuivi est de donner des outils techniques pour l' tude des processus faiblement d pendants aux statisticiens ou aux probabilistes travaillant sur ces processus.
Introduction.- Stochastic Evolution Equations in Hilbert Spaces.- Optimal Strong Error Estimates for Galerkin Finite Element Methods.- A Short Review of the Malliavin Calculus in Hilbert Spaces.- A Malliavin Calculus Approach to Weak Convergence.- Numerical Experiments.- Some Useful Variations of Gronwall's Lemma.- Results on Semigroups and their Infinitesimal Generators.- A Generalized Version of Lebesgue's Theorem.- References.- Index.
Автор: J?rome Dedecker; Paul Doukhan; Gabriel Lang; Jos? Название: Weak Dependence: With Examples and Applications ISBN: 0387699511 ISBN-13(EAN): 9780387699516 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Develops Doukhan/Louhichi`s 1999 idea to measure asymptotic independence of a random process.
Описание: Kosorok`s brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties of such methods.
Автор: Samuel Karlin Название: A First Course in Stochastic Processes, ISBN: 0123985528 ISBN-13(EAN): 9780123985521 Издательство: Elsevier Science Рейтинг: Цена: 16842.00 р. Наличие на складе: Поставка под заказ.
Описание:
The purpose, level, and style of this new edition conform to the tenets set forth in the original preface. The authors continue with their tack of developing simultaneously theory and applications, intertwined so that they refurbish and elucidate each other.
The authors have made three main kinds of changes. First, they have enlarged on the topics treated in the first edition. Second, they have added many exercises and problems at the end of each chapter. Third, and most important, they have supplied, in new chapters, broad introductory discussions of several classes of stochastic processes not dealt with in the first edition, notably martingales, renewal and fluctuation phenomena associated with random sums, stationary stochastic processes, and diffusion theory.
Автор: Valentin F?ray; Pierre-Lo?c M?liot; Ashkan Nikeghb Название: Mod-? Convergence ISBN: 3319468219 ISBN-13(EAN): 9783319468211 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The canonical way to establish the central limit theorem for i.i.d. random variables is to use characteristic functions and L?vy’s continuity theorem. This monograph focuses on this characteristic function approach and presents a renormalization theory called mod-? convergence. This type of convergence is a relatively new concept with many deep ramifications, and has not previously been published in a single accessible volume. The authors construct an extremely flexible framework using this concept in order to study limit theorems and large deviations for a number of probabilistic models related to classical probability, combinatorics, non-commutative random variables, as well as geometric and number-theoretical objects.
Intended for researchers in probability theory, the text is carefully well-written and well-structured, containing a great amount of detail and interesting examples.
Автор: Hдusler Erich Название: Stable Convergence and Stable Limit Theorems ISBN: 3319183281 ISBN-13(EAN): 9783319183282 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The authors present a concise but complete exposition of the mathematical theory of stable convergence and give various applications in different areas of probability theory and mathematical statistics to illustrate the usefulness of this concept.
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