Foundations of Modern Probability
Title | Foundations of Modern Probability PDF eBook |
Author | Olav Kallenberg |
Publisher | Springer Science & Business Media |
Total Pages | 670 |
Release | 2002-01-08 |
Genre | Mathematics |
ISBN | 9780387953137 |
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.
Foundations of Modern Probability
Title | Foundations of Modern Probability PDF eBook |
Author | Olav Kallenberg |
Publisher | Springer |
Total Pages | 0 |
Release | 2021-02-08 |
Genre | Mathematics |
ISBN | 9783030618704 |
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.
Creating Modern Probability
Title | Creating Modern Probability PDF eBook |
Author | Jan von Plato |
Publisher | Cambridge University Press |
Total Pages | 336 |
Release | 1998-01-12 |
Genre | Mathematics |
ISBN | 9780521597357 |
In this book the author charts the history and development of modern probability theory.
Random Measures, Theory and Applications
Title | Random Measures, Theory and Applications PDF eBook |
Author | Olav Kallenberg |
Publisher | Springer |
Total Pages | 706 |
Release | 2017-04-12 |
Genre | Mathematics |
ISBN | 3319415980 |
Offering the first comprehensive treatment of the theory of random measures, this book has a very broad scope, ranging from basic properties of Poisson and related processes to the modern theories of convergence, stationarity, Palm measures, conditioning, and compensation. The three large final chapters focus on applications within the areas of stochastic geometry, excursion theory, and branching processes. Although this theory plays a fundamental role in most areas of modern probability, much of it, including the most basic material, has previously been available only in scores of journal articles. The book is primarily directed towards researchers and advanced graduate students in stochastic processes and related areas.
Foundations of the Theory of Probability
Title | Foundations of the Theory of Probability PDF eBook |
Author | A. N. Kolmogorov |
Publisher | American Mathematical Soc. |
Total Pages | 84 |
Release | 2019-06-04 |
Genre | Education |
ISBN | 1470452995 |
AMS Chelsea Publishing: An Imprint of the American Mathematical Society
A Modern Approach to Probability Theory
Title | A Modern Approach to Probability Theory PDF eBook |
Author | Bert E. Fristedt |
Publisher | Springer Science & Business Media |
Total Pages | 775 |
Release | 2013-11-21 |
Genre | Mathematics |
ISBN | 1489928375 |
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.
Lady Luck
Title | Lady Luck PDF eBook |
Author | Warren Weaver |
Publisher | Courier Corporation |
Total Pages | 399 |
Release | 2012-06-11 |
Genre | Mathematics |
ISBN | 0486150917 |
This witty, nontechnical introduction to probability elucidates such concepts as permutations, independent events, mathematical expectation, the law of averages and more. No advanced math required. 49 drawings.