This unique volume presents a collection of the extensive journal publications written by Kai Lai Chung over a span of 70-odd years. It is produced to celebrate his 90th birthday. The selection is only a subset of the many contributions that he has made throughout his prolific career. Another volume, Chance and Choice, published by World Scientific in 2004, contains yet another subset, with four articles in common with this volume. Kai Lai Chung's research contributions have had a major influence on several areas in probability. Among his most significant works are those related to sums of independent random variables, Markov chains, time reversal of Markov processes, probabilistic potential theory, Brownian excursions, and gauge theorems for the Schrödinger equation.
As Kai Lai Chung's contributions spawned critical new developments, this volume also contains retrospective and perspective views provided by collaborators and other authors who themselves advanced the areas of probability and mathematics.
Contents:On Mutually Favorable Events; Fluctuations of Sums of Independent Random Variables; Continuous Parameter Markov Chains; On Last Exit Times; On the Boundary Theory for Markov Chains; Crudely Stationary Counting Processes; Excursions in Brownian Motion; On Stopped Feynman Kac Functionals; The Lifetime of Conditional Brownian Motion in the Plane; Greenian Bounds for Markov Processes; and other papers.

This comprehensive textbook introduces readers to the principal ideas and applications of game theory, in a style that combines rigor with accessibility. Steven Tadelis begins with a concise description of rational decision making, and goes on to discuss strategic and extensive form games with complete information, Bayesian games, and extensive form games with imperfect information. He covers a host of topics, including multistage and repeated games, bargaining theory, auctions, rent-seeking games, mechanism design, signaling games, reputation building, and information transmission games. Unlike other books on game theory, this one begins with the idea of rationality and explores its implications for multiperson decision problems through concepts like dominated strategies and rationalizability. Only then does it present the subject of Nash equilibrium and its derivatives. "Game Theory" is the ideal textbook for advanced undergraduate and beginning graduate students. Throughout, concepts and methods are explained using real-world examples backed by precise analytic material. The book features many important applications to economics and political science, as well as numerous exercises that focus on how to formalize informal situations and then analyze them. It introduces the core ideas and applications of game theory. It covers static and dynamic games, with complete and incomplete information. It features a variety of examples, applications, and exercises. Topics include repeated games, bargaining, auctions, signaling, reputation, and information transmission. It is ideal for advanced undergraduate and beginning graduate students. Complete solutions available to teachers and selected solutions available to students.

斯图尔特著的《概率论马尔科夫链排队和模拟》是一部讲述如何挖掘蕴藏在模型表现形式背后的数学过程的权威作品。详细的数学推导和大量图例使得更加易于研究生和高年级本科生作为学习随机过程的教材和参考资料。本书应用广泛，也适用于计算科学、工程、运筹学、统计和数学等学科。

《随机微分方程》(第6版)是《Universitext》丛书之一，是一部理想的研究生教材，内容做了较大的修改和补充，包括鞅表示论、变分不等式和随机控制等内容，书后附有部分习题解答和提示。随机微分方程在数学以外的许多领域有着广泛的应用，它对数学领域中的许多分支起着有效的联结作用。

《概率、随机变量与随机过程》是美国著名学者A·帕普里斯教授所著的一本经典教材。自1965年第1版问世以来至今已第4版，一直被美国多所大学用作相关专业的研究生教材。它的特点是将高深的理论恰当地应用于工程实际，因而深受工程界专业人士的青睐。本书（第4版）在保持前三版风格和精华的基础上作了大量的修订：更新了约三分之一的章节内容，包括几个新的专题和新增的第15、16章，增加了大量的新例子，进一步澄清了一些复杂的概念，使读者能更容易地理解它们。
本书可供无线电通信系统、信号处理、控制理论、优化、滤波等专业的研究生和本科高年级学生使用，也可供相关领域的科开人员和工程技术人员参考。

《概率(第2卷)(修订和补充第3版)》是俄国著名数学家A.H.施利亚耶夫的力作。施利亚耶夫是现代概率论奠基人、前苏联科学院院士、著名数学家A.H.柯尔莫戈洛夫的学生，在概率统计界和金融数学界影响极大。《概率(第2卷)(修订和补充第3版)》作为莫斯科大学最为出色的概率教材之一。分为一、二两卷，并配有习题集。第二卷《概率(第2卷)(修订和补充第3版)》是离散时间随机过程（随机序列）的内容。重点讲述（强和弱）平稳序列、鞅和马尔可夫链，并给出了随机序列中的估计和过滤问题、随机金融数学、保险理论和最优停时问题等领域的应用。书后附有概率的数学理论形成的简史。在图书文献资料中，指出了所引用结果的出处，并且给出了注释。此外，还列出了相应的补充文献资料。第一卷《概率(第2卷)(修订和补充第3版)》是初等概率论的内容，可以作为初步了解概率论学科的教材。大部分内容涉及以柯尔莫戈洛夫公理化体系为基础的初等概率论、概率论的数学基础、概率测度的收敛性和极限定理等基本问题。

本书从投资市场入手，将随机性的影响讲得饶有趣味。即使是精于计算的数学家，也往往会被随机性所捉弄。实际上，那些成功人士很可能只是转盘赌的幸运儿，他们的幸运能维持多久呢？塔勒布告诉我们，与其预测，不如做好准备。黑天鹅终有一天会出现，如果能做好准备，我们将是黑天鹅事件的幸存者甚至获利者，而非牺牲者。

The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.

For many applications, a randomized algorithm is either the simplest or the fastest algorithm available, and sometimes both. This book introduces the basic concepts in the design and analysis of randomized algorithms. The first part of the text presents basic tools such as probability theory and probabilistic analysis that are frequently used in algorithmic applications. Algorithmic examples are also given to illustrate the use of each tool in a concrete setting. In the second part of the book, each chapter focuses on an important area to which randomized algorithms can be applied, providing a comprehensive and representative selection of the algorithms that might be used in each of these areas. Although written primarily as a text for advanced undergraduates and graduate students, this book should also prove invaluable as a reference for professionals and researchers.

《概率论教程:英文版(第3版)》是一本享誉世界的经典概率论教材，令众多读者受益无穷。自出版以来。已被世界75％以上的大学的数万名学生使用。《概率论教程:英文版(第3版)》内容丰富，逻辑清晰，叙述严谨。不仅可以拓展读者的视野。而且还将为其后续的学习和研究打下坚实基础。此外，《概率论教程:英文版(第3版)》的习题较多，都经过细心的遴选，从易到难，便于读者巩固练习。本版补充了有关测度和积分方面的内容，并增加了一些习题。

《棘手又迷人的数学•概率统计拾遗》分为11个部分，每个部分讨论一个专题，各个专题独立成立。有的专题曾为重庆大学的学生作过专题报告。因此，《棘手又迷人的数学•概率统计拾遗》也可叫做专题报告集。全书前8个部分属于概率论的内容，第9和第10部分属于数理统计的内容，第11部分既与概率统计有关，也与随机过程和排队论有关。《棘手又迷人的数学•概率统计拾遗》不仅介绍了很多新结果，新概念，新方法，还介绍了如和发现提出问题，如和分析解决问题，如何对已解决的问题进行推广和应用；如何把个别具体问题抽象成一般理论问题，又如何把一般理论应用到实际。不仅强调结果，更强调过程。

《应用随机过程概率模型导论》是一部经典的随机过程著作, 叙述深入浅出、涉及面广，主要内容有随机变量、条件概率及条件期望、离散及连续马尔可夫链、指数分布、泊松过程、布朗运动及平稳过程、更新理论及排队论等；也包括了随机过程在物理、生物、运筹、网络、遗传、经济、保险、金融及可靠性中的应用，特别是有关随机模拟的内容, 给随机系统运行的模拟计算提供了有力的工具。《应用随机过程概率模型导论》有约700道习题, 其中带星号的习题还提供了解答。

本书是概率论方面的经典名著，篇幅短小，叙述精辟，具有较高的理论水平。书中以简练的笔法介绍了概率方面的主要内容，包括事件、概率、概率空间、均值、特征函数等基本概念，还有大数定律、Poisson小数定律、遍历定理以及随机过程的基本内容。作者通过数学的结构之美来传达数学的旋律之美。
本书试图用测度论工具严格地研究概率论，适合相关领域的本科生、研究生和教师作为参考书，是每一位概率学者的案头佳作。

《概率导论(第2版)》是在MIT开设概率论入门课程的基础上编写的, 其内容全面, 例题和习题丰富, 结构层次性强, 能够满足不同读者的需求。书中介绍了概率模型、离散随机变量和连续随机变量、多元随机变量以及极限理论等概率论基本知识, 还介绍了矩母函数、条件概率的现代定义、独立随机变量的和、最小二乘估计等高级内容。
《概率导论(第2版)》可作为所有高等院校概率论入门的基础教程, 也可作为有关概率论方面的参考书。

《概率论基础教程》(第7版)内容简介——概率论是研究自然界和人类社会中随机现象数量规律的数学分支。本书通过大量的例子讲述了概率论的基础知识, 主要内容有组合分析、概率论公理化、条件概率和独立性、离散和连续型随机变量、随机变量的联合分布、期望的性质、极限定理等。本书附有大量的练习, 分为习题、理论习题和自检习题三大类, 其中自检习题部分还给出全部解答。

This book demonstrates the contribution that statistics can and should make to linguistic studies.The range of work to which statistical analysis is applicable is vast:including,for example,language acquisition,language variation and many aspects of applied linguistics,The aubhors give a wide variety of linguixtic examples to demonstrate the use of statistics in summarising data in the most appropriate way,and then making helpful inferences form the processed information.
Students and resesarchers in many fields of linguistics will find this book an invaluable introduction to the use of statistics,and a practical text tor the development of skils in the application of statistics.