Probability Theory III

Probability Theory III PDF Author: Yurij V. Prokhorov
Publisher: Springer Science & Business Media
ISBN: 3662036401
Category : Mathematics
Languages : en
Pages : 260

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Book Description
This volume of the Encyclopaedia is a survey of stochastic calculus, an increasingly important part of probability, authored by well-known experts in the field. The book addresses graduate students and researchers in probability theory and mathematical statistics, as well as physicists and engineers who need to apply stochastic methods.

Probability Theory III

Probability Theory III PDF Author: Yurij V. Prokhorov
Publisher: Springer Science & Business Media
ISBN: 3662036401
Category : Mathematics
Languages : en
Pages : 260

Get Book Here

Book Description
This volume of the Encyclopaedia is a survey of stochastic calculus, an increasingly important part of probability, authored by well-known experts in the field. The book addresses graduate students and researchers in probability theory and mathematical statistics, as well as physicists and engineers who need to apply stochastic methods.

Probability Theory

Probability Theory PDF Author: Michel Loeve
Publisher: Courier Dover Publications
ISBN: 0486814882
Category : Mathematics
Languages : en
Pages : 705

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Book Description
Following its 1963 publication, this volume served as the standard advanced text in probability theory. Suitable for undergraduate and graduate students, the treatment includes extensive introductory material.

Probability Theory

Probability Theory PDF Author: Achim Klenke
Publisher: Springer Science & Business Media
ISBN: 1848000480
Category : Mathematics
Languages : en
Pages : 621

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Book Description
Aimed primarily at graduate students and researchers, this text is a comprehensive course in modern probability theory and its measure-theoretical foundations. It covers a wide variety of topics, many of which are not usually found in introductory textbooks. The theory is developed rigorously and in a self-contained way, with the chapters on measure theory interlaced with the probabilistic chapters in order to display the power of the abstract concepts in the world of probability theory. In addition, plenty of figures, computer simulations, biographic details of key mathematicians, and a wealth of examples support and enliven the presentation.

A Course in Probability Theory

A Course in Probability Theory PDF Author: Kai Lai Chung
Publisher: Academic Press
ISBN: 0080570402
Category : Mathematics
Languages : en
Pages : 381

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Book Description
This book contains about 500 exercises consisting mostly of special cases and examples, second thoughts and alternative arguments, natural extensions, and some novel departures. With a few obvious exceptions they are neither profound nor trivial, and hints and comments are appended to many of them. If they tend to be somewhat inbred, at least they are relevant to the text and should help in its digestion. As a bold venture I have marked a few of them with a * to indicate a "must", although no rigid standard of selection has been used. Some of these are needed in the book, but in any case the reader's study of the text will be more complete after he has tried at least those problems.

Probability

Probability PDF Author: Rick Durrett
Publisher: Cambridge University Press
ISBN: 113949113X
Category : Mathematics
Languages : en
Pages :

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Book Description
This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.

Probability Theory II

Probability Theory II PDF Author: M. Loeve
Publisher: Springer Science & Business Media
ISBN: 0387902627
Category : Mathematics
Languages : en
Pages : 437

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Book Description
This book is intended as a text for graduate students and as a reference for workers in probability and statistics. The prerequisite is honest calculus. The material covered in Parts Two to Five inclusive requires about three to four semesters of graduate study. The introductory part may serve as a text for an undergraduate course in elementary probability theory. Numerous historical marks about results, methods, and the evolution of various fields are an intrinsic part of the text. About a third of the second volume is devoted to conditioning and properties of sequences of various types of dependence. The other two thirds are devoted to random functions; the last Part on Elements of random analysis is more sophisticated.

Probability Theory

Probability Theory PDF Author:
Publisher: Allied Publishers
ISBN: 9788177644517
Category :
Languages : en
Pages : 436

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Book Description
Probability theory

Foundations of Constructive Probability Theory

Foundations of Constructive Probability Theory PDF Author: Yuen-Kwok Chan
Publisher: Cambridge University Press
ISBN: 1108835430
Category : Mathematics
Languages : en
Pages : 627

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Book Description
This book provides a systematic and general theory of probability within the framework of constructive mathematics.

Probability Theory I

Probability Theory I PDF Author: M. Loeve
Publisher: Springer Science & Business Media
ISBN: 9780387902104
Category : Mathematics
Languages : en
Pages : 452

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Book Description
This fourth edition contains several additions. The main ones con cern three closely related topics: Brownian motion, functional limit distributions, and random walks. Besides the power and ingenuity of their methods and the depth and beauty of their results, their importance is fast growing in Analysis as well as in theoretical and applied Proba bility. These additions increased the book to an unwieldy size and it had to be split into two volumes. About half of the first volume is devoted to an elementary introduc tion, then to mathematical foundations and basic probability concepts and tools. The second half is devoted to a detailed study of Independ ence which played and continues to playa central role both by itself and as a catalyst. The main additions consist of a section on convergence of probabilities on metric spaces and a chapter whose first section on domains of attrac tion completes the study of the Central limit problem, while the second one is devoted to random walks. About a third of the second volume is devoted to conditioning and properties of sequences of various types of dependence. The other two thirds are devoted to random functions; the last Part on Elements of random analysis is more sophisticated. The main addition consists of a chapter on Brownian motion and limit distributions.

Probability Theory and Stochastic Processes

Probability Theory and Stochastic Processes PDF Author: Pierre Brémaud
Publisher: Springer Nature
ISBN: 3030401839
Category : Mathematics
Languages : en
Pages : 717

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Book Description
The ultimate objective of this book is to present a panoramic view of the main stochastic processes which have an impact on applications, with complete proofs and exercises. Random processes play a central role in the applied sciences, including operations research, insurance, finance, biology, physics, computer and communications networks, and signal processing. In order to help the reader to reach a level of technical autonomy sufficient to understand the presented models, this book includes a reasonable dose of probability theory. On the other hand, the study of stochastic processes gives an opportunity to apply the main theoretical results of probability theory beyond classroom examples and in a non-trivial manner that makes this discipline look more attractive to the applications-oriented student. One can distinguish three parts of this book. The first four chapters are about probability theory, Chapters 5 to 8 concern random sequences, or discrete-time stochastic processes, and the rest of the book focuses on stochastic processes and point processes. There is sufficient modularity for the instructor or the self-teaching reader to design a course or a study program adapted to her/his specific needs. This book is in a large measure self-contained.