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Foundations of Modern Probability, Kallenberg Olav


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Автор: Kallenberg Olav
Название:  Foundations of Modern Probability
Перевод названия: Олав Калленберг: Основы современной теории вероятности
ISBN: 9780387953137
Издательство: Springer
Классификация:


ISBN-10: 0387953132
Обложка/Формат: Hardback
Страницы: 655
Вес: 1.14 кг.
Дата издания: 01.02.2002
Серия: Probability and its Applications
Язык: English
Издание: 2nd ed. 2002
Иллюстрации: Biography
Размер: 235 x 164 x 51
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: About the first edition: To sum it up, one can perhaps see a distinction among advanced probability books into those which are original and path-breaking in content, such as Levys and Doobs well-known examples, and those which aim primarily to assimilate known material, such as Loeves and more recently Rogers and Williams. Seen in this light, Kallenbergs present book would have to qualify as the assimilation of probability par excellence. It is a great edifice of material, clearly and ingeniously presented, without any non-mathematical distractions. Readers wishing to venture into it may do so with confidence that they are in very capable hands.- Mathematical ReviewsThis new edition contains four new chapters as well as numerous improvements throughout the text. There are new chapters on measure Theory-key results, ergodic properties of Markov processes and large deviations.
Дополнительное описание: Формат: 235x155
Круг читателей: Graduate mathematics students, probabilists, statisticians
Ключевые слова: Probability
modern probability
probability theory
Язык: eng
Издание: 2nd ed.
Оглавление: * Measure Theory-Basic Notions * Measure Theory-Key Results * Processes, Distributions, and Independence * Random Sequences, Series, and Averages * Characteristic Functions and Classical Limit Theorems * Conditioning and Disintegration * Martingales and Optional Times * Markov Processes and Discrete-Time Chains * Random Walks and Renewal Theory * Stationary Processes and Ergodic Theory * Special Notions of Symmetry and Invariance * Poisson and Pure Jump-Type Markov Processes * Gaussian Processes and Brownian Motion * Skorohod Embedding and Invariance Principles * Independent Increments and Infinite Divisibility * Convergence of Random Processes, Measures, and Sets * Stochastic Integrals and Quadratic Variation * Continuous Martingales and Brownian Motion * Feller Processes and Semigroups * Ergodic Properties of Markov Processes * Stochastic Differential Equations and Martingale Problems * Local Time, Excursions, and Additive Functionals * One-Dimensional SDEs and Diffusions * Connections with PDEs and Potential Theory * Predictability, Compensation, and Excessive Functions * Semimartingales and General Stochastic Integration * Large Deviations * Appendix 1: Advanced Measure Theory * Appendix 2: Some Special Spaces * Historical and Bibliographical Notes * Bibliography * Indices




Mathematical Physics: A Modern Introduction To Its Foundations

Автор: Sadri Hassani
Название: Mathematical Physics: A Modern Introduction To Its Foundations
ISBN: 3319011944 ISBN-13(EAN): 9783319011943
Издательство: Springer
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Цена: 11179.00 р.
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Описание:

This book is for physics students interested in the mathematics they use and for mathematics students interested in seeing how some of the ideas of their discipline find realization in an applied setting. The presentation tries to strike a balance between formalism and application, between abstract and concrete. The interconnections among the various topics are clarified both by the use of vector spaces as a central unifying theme, recurring throughout the book, and by putting ideas into their historical context. Enough of the essential formalism is included to make the presentation self-contained.

The book is divided into eight parts: The first covers finite- dimensional vector spaces and the linear operators defined on them. The second is devoted to infinite-dimensional vector spaces, and includes discussions of the classical orthogonal polynomials and of Fourier series and transforms. The third part deals with complex analysis, including complex series and their convergence, the calculus of residues, multivalued functions, and analytic continuation. Part IV treats ordinary differential equations, concentrating on second-order equations and discussing both analytical and numerical methods of solution. The next part deals with operator theory, focusing on integral and Sturm--Liouville operators. Part VI is devoted to Green's functions, both for ordinary differential equations and in multidimensional spaces. Parts VII and VIII contain a thorough discussion of differential geometry and Lie groups and their applications, concluding with Noether's theorem on the relationship between symmetries and conservation laws.

Intended for advanced undergraduates or beginning graduate students, this comprehensive guide should also prove useful as a refresher or reference for physicists and applied mathematicians. Over 300 worked-out examples and more than 800 problems provide valuable learning aids.

Numerous enhancements and revision are incorporated into this new edition. For example, fiber bundle techniques are used to introduce differential geometry. This more elegant and intuitive approach naturally connects differential geometry with not only the general theory of relativity, but also gauge theories of fundamental forces.

Some praise for the previous edition:

PAGEOPH Pure and Applied Geophysics]

Review by Daniel Wojcik, University of Maryland

"This volume should be a welcome addition to any collection. The book is well written and explanations are usually clear. Lives of famous mathematicians and physicists are scattered within the book. They are quite extended, often amusing, making nice interludes. Numerous exercises help the student practice the methods introduced. ... I have recently been using this book for an extended time and acquired a liking for it. Among all the available books treating mathematical methods of physics this one certainly stands out and assuredly it would suit the needs of many physics readers."

ZENTRALBLATT MATH

Review by G.Roepstorff, University of Aachen, Germany

..". Unlike most existing texts with the same emphasis and audience, which are merely collections of facts and formulas, the present book is more systematic, self-contained, with a level of presentation that tends to be more formal and abstract. This entails proving a large number of theorems, lemmas, and corollaries, deferring most of the applications that physics students might be interested in to the example sections in small print. Indeed, there are 350 worked-out examples and about 850 problems. ... A very nice feature is the way the author intertwines the formalism with the life stories and anecdotes of some mathematicians and physicists, leading at their times. As is often the case, the historical view point helps to understand and appreciate the ideas presented in the text. ... For the physics studen

Probability and Random Processes  3ed

Автор: Grimmett
Название: Probability and Random Processes 3ed
ISBN: 0198572220 ISBN-13(EAN): 9780198572220
Издательство: Oxford Academ
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Цена: 7206.00 р.
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Описание: Love Your Home is an inspiring and thought-provoking sourcebook of ideas for home design. It explores the concept of `home` and its role as a private retreat and sanctuary, as well as a social hub for entertaining and the centre of family life. Provides an introduction to probability and random processes and their practical applications. This third edition emphasizes modeling and understanding rather than abstraction. Many important random processes are developed in the text through examples. It includes exercises and problems, with solutions provided in the companion volume.

Exercises in Probability

Автор: Chaumont
Название: Exercises in Probability
ISBN: 1107606551 ISBN-13(EAN): 9781107606555
Издательство: Cambridge Academ
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Цена: 8870.00 р.
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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.

From Computer to Brain / Foundations of Computational Neuroscience

Автор: Lytton William W.
Название: From Computer to Brain / Foundations of Computational Neuroscience
ISBN: 0387955267 ISBN-13(EAN): 9780387955261
Издательство: Springer
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Цена: 6282.00 р.
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Описание: Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.

Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

One thousand exercises in probability

Автор: Grimmett, Geoffrey Stirzaker, David
Название: One thousand exercises in probability
ISBN: 0198572212 ISBN-13(EAN): 9780198572213
Издательство: Oxford Academ
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Цена: 7522.00 р.
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Описание: Provides a selection of informative problems, together with their solution. This edition of the popular exercise manual includes modeling and many applications of probability theory, as well as theoretical aspects. There are questions at all ability levels, the majority being of elementary or intermediate standard.

A Basic Course in Measure and Probability

Автор: Leadbetter
Название: A Basic Course in Measure and Probability
ISBN: 1107652529 ISBN-13(EAN): 9781107652521
Издательство: Cambridge Academ
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Цена: 7286.00 р.
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Описание: This concise introduction covers all of the measure theory and probability most useful for statisticians. Originating from the authors` own graduate course, it is perfect for a two-term course or for self-study. It is especially useful to graduate students in related fields who want to shore up their mathematical foundation.

Response Surface Methodology

Автор: Myers Raymond H.
Название: Response Surface Methodology
ISBN: 1118916018 ISBN-13(EAN): 9781118916018
Издательство: Wiley
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Цена: 20109.00 р.
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Описание: Praise for the Third Edition: This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.

Intuitive Probability and Random Processes using MATLAB®

Автор: Kay
Название: Intuitive Probability and Random Processes using MATLAB®
ISBN: 0387241574 ISBN-13(EAN): 9780387241579
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Offering an introduction to probability and random processes, this book merges theory with practice. It is suitable for undergraduate and first-year graduate students in engineering, practicing engineers as well as others having appropriate mathematical background.

Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance

Автор: Chung K. L., AitSahlia Farid
Название: Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance
ISBN: 038795578X ISBN-13(EAN): 9780387955780
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Provides an introduction to probability theory and its applications.

Mathematical Foundations of Imaging, Tomography and Wavefield Inversion

Автор: Devaney
Название: Mathematical Foundations of Imaging, Tomography and Wavefield Inversion
ISBN: 052111974X ISBN-13(EAN): 9780521119740
Издательство: Cambridge Academ
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Цена: 8395.00 р.
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Описание: Combining theory with numerous MATLAB based examples, this text provides a clear and systematic treatment of the mathematical and physical foundations of imaging and wavefield inversion. Key areas of discussion include Green function and the concept of field time reversal. It will appeal to graduate students and researchers alike.

Theory of Probability and Random Processes

Автор: Koralov
Название: Theory of Probability and Random Processes
ISBN: 3540254846 ISBN-13(EAN): 9783540254843
Издательство: Springer
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Цена: 8384.00 р.
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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.


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