Creating Modern Probability

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Publisher : Cambridge University Press
ISBN 13 : 9780521597357
Total Pages : 336 pages
Book Rating : 4.58/5 ( download)

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Book Synopsis Creating Modern Probability by : Jan von Plato

Download or read book Creating Modern Probability written by Jan von Plato and published by Cambridge University Press. This book was released on 1998-01-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book the author charts the history and development of modern probability theory.

Foundations of Modern Probability

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Publisher : Springer Science & Business Media
ISBN 13 : 9780387953137
Total Pages : 670 pages
Book Rating : 4.32/5 ( download)

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Book Synopsis Foundations of Modern Probability by : Olav Kallenberg

Download or read book Foundations of Modern Probability written by Olav Kallenberg and published by Springer Science & Business Media. This book was released on 2002-01-08 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of this single volume on the theory of probability has become a highly-praised standard reference for many areas of probability theory. Chapters from the first edition have been revised and corrected, and this edition contains four new chapters. New material covered includes multivariate and ratio ergodic theorems, shift coupling, Palm distributions, Harris recurrence, invariant measures, and strong and weak ergodicity.

A Modern Approach to Probability Theory

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Publisher : Springer Science & Business Media
ISBN 13 : 1489928375
Total Pages : 775 pages
Book Rating : 4.75/5 ( download)

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Book Synopsis A Modern Approach to Probability Theory by : Bert E. Fristedt

Download or read book A Modern Approach to Probability Theory written by Bert E. Fristedt and published by Springer Science & Business Media. This book was released on 2013-11-21 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: Students and teachers of mathematics and related fields will find this book a comprehensive and modern approach to probability theory, providing the background and techniques to go from the beginning graduate level to the point of specialization in research areas of current interest. The book is designed for a two- or three-semester course, assuming only courses in undergraduate real analysis or rigorous advanced calculus, and some elementary linear algebra. A variety of applications—Bayesian statistics, financial mathematics, information theory, tomography, and signal processing—appear as threads to both enhance the understanding of the relevant mathematics and motivate students whose main interests are outside of pure areas.

Modern Probability Theory

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Publisher :
ISBN 13 : 9780852260616
Total Pages : 256 pages
Book Rating : 4.1X/5 ( download)

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Book Synopsis Modern Probability Theory by : B. Ramdas Bhat

Download or read book Modern Probability Theory written by B. Ramdas Bhat and published by . This book was released on 1981 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probability

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Publisher : American Mathematical Soc.
ISBN 13 : 0821842153
Total Pages : 242 pages
Book Rating : 4.57/5 ( download)

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Book Synopsis Probability by : Davar Khoshnevisan

Download or read book Probability written by Davar Khoshnevisan and published by American Mathematical Soc.. This book was released on 2007 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a textbook for a one-semester graduate course in measure-theoretic probability theory, but with ample material to cover an ordinary year-long course at a more leisurely pace. Khoshnevisan's approach is to develop the ideas that are absolutely central to modern probability theory, and to showcase them by presenting their various applications. As a result, a few of the familiar topics are replaced by interesting non-standard ones. The topics range from undergraduate probability and classical limit theorems to Brownian motion and elements of stochastic calculus. Throughout, the reader will find many exciting applications of probability theory and probabilistic reasoning. There are numerous exercises, ranging from the routine to the very difficult. Each chapter concludes with historical notes.

Modern Probability Theory and Its Applications

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Publisher :
ISBN 13 :
Total Pages : 666 pages
Book Rating : 4.28/5 ( download)

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Book Synopsis Modern Probability Theory and Its Applications by : Emanuel Parzen

Download or read book Modern Probability Theory and Its Applications written by Emanuel Parzen and published by . This book was released on 1960 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Modern Introduction to Probability and Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 1846281687
Total Pages : 488 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis A Modern Introduction to Probability and Statistics by : F.M. Dekking

Download or read book A Modern Introduction to Probability and Statistics written by F.M. Dekking and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

Mathematics of Probability

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Publisher : American Mathematical Soc.
ISBN 13 : 1470409070
Total Pages : 299 pages
Book Rating : 4.74/5 ( download)

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Book Synopsis Mathematics of Probability by : Daniel W. Stroock

Download or read book Mathematics of Probability written by Daniel W. Stroock and published by American Mathematical Soc.. This book was released on 2013-07-05 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the basics of modern probability theory. It begins with probability theory on finite and countable sample spaces and then passes from there to a concise course on measure theory, which is followed by some initial applications to probability theory, including independence and conditional expectations. The second half of the book deals with Gaussian random variables, with Markov chains, with a few continuous parameter processes, including Brownian motion, and, finally, with martingales, both discrete and continuous parameter ones. The book is a self-contained introduction to probability theory and the measure theory required to study it.

Foundations of Modern Probability

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Publisher : Springer
ISBN 13 : 9783030618704
Total Pages : 0 pages
Book Rating : 4.06/5 ( download)

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Book Synopsis Foundations of Modern Probability by : Olav Kallenberg

Download or read book Foundations of Modern Probability written by Olav Kallenberg and published by Springer. This book was released on 2021-02-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of this single volume on the theory of probability has become a highly-praised standard reference for many areas of probability theory. Chapters from the first edition have been revised and corrected, and this edition contains four new chapters. New material covered includes multivariate and ratio ergodic theorems, shift coupling, Palm distributions, Harris recurrence, invariant measures, and strong and weak ergodicity.

Introduction to Probability

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Publisher : Cambridge University Press
ISBN 13 : 110824498X
Total Pages : 447 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Introduction to Probability by : David F. Anderson

Download or read book Introduction to Probability written by David F. Anderson and published by Cambridge University Press. This book was released on 2017-11-02 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.