Random measures

Science & Math

Olav Kallenberg

Mathematics

Academic Press

<p>Provides comprehensive coverage of modern probability theory from first principles to more advanced topics. Covers classical limit theorems, martingales, Markov chains, random walks, stationary processes, weak convergence and Feller processes. DLC: Probabilities.</p>

Foundations of Modern Probability (Springer Series in Statistics. Probability and Its Applications.)

Springer

<p>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.</p>

Foundations of Modern Probability (Probability and Its Applications)

【按需印刷】-现代概率论基础（第二版）

科学出版社

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Books by Olav Kallenberg