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概率论与随机过程(第4版)影印版


作者:
Geoffrey R.Grimmett, David R.Stirzaker
定价:
108.00 元
版面字数:
860.00千字
开本:
16开
装帧形式:
平装
页数:
688
最新
印次时间:
2026年10月
ISBN:
978-7-04-068428-5
物料号:
68428-00
出版时间:
2026年10月
读者对象:
高等教育
一级分类:
数学与统计学类
二级分类:
数学与统计学类专业核心课
三级分类:
概率论与数理统计

本书是广受好评的《概率论与随机过程(第4版)》,旨在为数学及相关理工科专业本科生和研究生提供入门级系统讲解,并辅以大量实际应用案例。全书编写围绕四大核心目标:以直观易懂的方式完整呈现基础概率论,避免繁复技术细节,帮助读者自然建立学科直觉;借助丰富实例,深入剖析各类重要随机过程;纳入一批虽非常规教学重点但极具理论价值与趣味性的专题;使初学者尽早领略高阶研究的思维范式与风格。 内容安排从数学、统计学及理工科通用的概率基本概念出发,逐步延伸至研究生阶段的核心课题,涵盖马尔可夫过程(含马尔可夫链蒙特卡罗方法)、鞅、排队论、扩散过程(含基于伊藤公式的随机微积分)、更新过程、平稳过程(含遍历定理),以及基于布莱克–斯科尔斯公式的数理金融期权定价。全新修订的第4版特别新增了过去耦合(CFTP)算法、莱维过程、自相似性与稳定性、时变,以及连续时间马尔可夫链的停留时间/跳跃链构造等专题。全书习题总量增至1322道(新增约300道),原有题目亦补充了拓展设问,全面更新;全部习题解答收录于配套教辅《概率论题解1000例(第3版)》。
  • 目录
    • 前辅文
      • 1 Events and their probabilities
        • 1.1 Introduction
          • 1.2 Events as sets
            • 1.3 Probability
              • 1.4 Conditional probability
                • 1.5 Independence
                  • 1.6 Completeness and product spaces
                    • 1.7 Worked examples
                      • 1.8 Problems
                      • 2 Random variables and their distributions
                        • 2.1 Random variables
                          • 2.2 The law of averages
                            • 2.3 Discrete and continuous variables
                              • 2.4 Worked examples
                                • 2.5 Random vectors
                                  • 2.6 Monte Carlo simulation
                                    • 2.7 Problems
                                    • 3 Discrete random variables
                                      • 3.1 Probability mass functions
                                        • 3.2 Independence
                                          • 3.3 Expectation
                                            • 3.4 Indicators and matching
                                              • 3.5 Examples of discrete variables
                                                • 3.6 Dependence
                                                  • 3.7 Conditional distributions and conditional expectation
                                                    • 3.8 Sums of random variables
                                                      • 3.9 Simple random walk
                                                        • 3.10 Random walk: counting sample paths
                                                          • 3.11 Problems
                                                          • 4 Continuous random variables
                                                            • 4.1 Probability density functions
                                                              • 4.2 Independence
                                                                • 4.3 Expectation
                                                                  • 4.4 Examples of continuous variables
                                                                    • 4.5 Dependence
                                                                      • 4.6 Conditional distributions and conditional expectation
                                                                        • 4.7 Functions of random variables
                                                                          • 4.8 Sums of random variables
                                                                            • 4.9 Multivariate normal distribution
                                                                              • 4.10 Distributions arising from the normal distribution
                                                                                • 4.11 Sampling from a distribution
                                                                                  • 4.12 Coupling and Poisson approximation
                                                                                    • 4.13 Geometrical probability
                                                                                      • 4.14 Problems
                                                                                      • 5 Generating functions and their applications
                                                                                        • 5.1 Generating functions
                                                                                          • 5.2 Some applications
                                                                                            • 5.3 Random walk
                                                                                              • 5.4 Branching processes
                                                                                                • 5.5 Age-dependent branching processes
                                                                                                  • 5.6 Expectation revisited
                                                                                                    • 5.7 Characteristic functions
                                                                                                      • 5.8 Examples of characteristic functions
                                                                                                        • 5.9 Inversion and continuity theorems
                                                                                                          • 5.10 Two limit theorems
                                                                                                            • 5.11 Large deviations
                                                                                                              • 5.12 Problems
                                                                                                              • 6 Markov chains
                                                                                                                • 6.1 Markov processes
                                                                                                                  • 6.2 Classification of states
                                                                                                                    • 6.3 Classification of chains
                                                                                                                      • 6.4 Stationary distributions and the limit theorem
                                                                                                                        • 6.5 Reversibility
                                                                                                                          • 6.6 Chains with finitely many states
                                                                                                                            • 6.7 Branching processes revisited
                                                                                                                              • 6.8 Birth processes and the Poisson process
                                                                                                                                • 6.9 Continuous-timeMarkov chains
                                                                                                                                  • 6.10 Kolmogorov equations and the limit theorem
                                                                                                                                    • 6.11 Birth–death processes and imbedding
                                                                                                                                      • 6.12 Special processes
                                                                                                                                        • 6.13 Spatial Poisson processes
                                                                                                                                          • 6.14 Markov chain Monte Carlo
                                                                                                                                            • 6.15 Problems
                                                                                                                                            • 7 Convergence of random variables
                                                                                                                                              • 7.1 Introduction
                                                                                                                                                • 7.2 Modes of convergence
                                                                                                                                                  • 7.3 Some ancillary results
                                                                                                                                                    • 7.4 Laws of large numbers
                                                                                                                                                      • 7.5 The strong law
                                                                                                                                                        • 7.6 The law of the iterated logarithm
                                                                                                                                                          • 7.7 Martingales
                                                                                                                                                            • 7.8 Martingale convergence theorem
                                                                                                                                                              • 7.9 Prediction and conditional expectation
                                                                                                                                                                • 7.10 Uniform integrability
                                                                                                                                                                  • 7.11 Problems
                                                                                                                                                                  • 8 Random processes
                                                                                                                                                                    • 8.1 Introduction
                                                                                                                                                                      • 8.2 Stationary processes
                                                                                                                                                                        • 8.3 Renewal processes
                                                                                                                                                                          • 8.4 Queues
                                                                                                                                                                            • 8.5 TheWiener process
                                                                                                                                                                              • 8.6 Lévy processes and subordinators
                                                                                                                                                                                • 8.7 Self-similarity and stability
                                                                                                                                                                                  • 8.8 Time changes
                                                                                                                                                                                    • 8.9 Existence of processes
                                                                                                                                                                                      • 8.10 Problems
                                                                                                                                                                                      • 9 Stationary processes
                                                                                                                                                                                        • 9.1 Introduction
                                                                                                                                                                                          • 9.2 Linear prediction
                                                                                                                                                                                            • 9.3 Autocovariances and spectra
                                                                                                                                                                                              • 9.4 Stochastic integration and the spectral representation
                                                                                                                                                                                                • 9.5 The ergodic theorem
                                                                                                                                                                                                  • 9.6 Gaussian processes
                                                                                                                                                                                                    • 9.7 Problems
                                                                                                                                                                                                    • 10 Renewals
                                                                                                                                                                                                      • 10.1 The renewal equation
                                                                                                                                                                                                        • 10.2 Limit theorems
                                                                                                                                                                                                          • 10.3 Excess life
                                                                                                                                                                                                            • 10.4 Applications
                                                                                                                                                                                                              • 10.5 Renewal–reward processes
                                                                                                                                                                                                                • 10.6 Problems
                                                                                                                                                                                                                • 11 Queues
                                                                                                                                                                                                                  • 11.1 Single-server queues
                                                                                                                                                                                                                    • 11.2 M/M/1
                                                                                                                                                                                                                      • 11.3 M/G/1
                                                                                                                                                                                                                        • 11.4 G/M/1
                                                                                                                                                                                                                          • 11.5 G/G/1
                                                                                                                                                                                                                            • 11.6 Heavy traffic
                                                                                                                                                                                                                              • 11.7 Networks of queues
                                                                                                                                                                                                                                • 11.8 Problems
                                                                                                                                                                                                                                • 12 Martingales
                                                                                                                                                                                                                                  • 12.1 Introduction
                                                                                                                                                                                                                                    • 12.2 Martingale differences and Hoeffding's inequality
                                                                                                                                                                                                                                      • 12.3 Crossings and convergence
                                                                                                                                                                                                                                        • 12.4 Stopping times
                                                                                                                                                                                                                                          • 12.5 Optional stopping
                                                                                                                                                                                                                                            • 12.6 The maximal inequality
                                                                                                                                                                                                                                              • 12.7 Backward martingales and continuous-time martingales
                                                                                                                                                                                                                                                • 12.8 Some examples
                                                                                                                                                                                                                                                  • 12.9 Problems
                                                                                                                                                                                                                                                  • 13 Diffusion processes
                                                                                                                                                                                                                                                    • 13.1 Introduction
                                                                                                                                                                                                                                                      • 13.2 Brownian motion
                                                                                                                                                                                                                                                        • 13.3 Diffusion processes
                                                                                                                                                                                                                                                          • 13.4 First passage times
                                                                                                                                                                                                                                                            • 13.5 Barriers
                                                                                                                                                                                                                                                              • 13.6 Excursions and the Brownian bridge
                                                                                                                                                                                                                                                                • 13.7 Stochastic calculus
                                                                                                                                                                                                                                                                  • 13.8 The Itô integral
                                                                                                                                                                                                                                                                    • 13.9 Itô's formula
                                                                                                                                                                                                                                                                      • 13.10 Option pricing
                                                                                                                                                                                                                                                                        • 13.11 Passage probabilities and potentials
                                                                                                                                                                                                                                                                          • 13.12 Problems
                                                                                                                                                                                                                                                                          • Appendix I. Foundations and notation
                                                                                                                                                                                                                                                                            • Appendix II. Further reading
                                                                                                                                                                                                                                                                              • Appendix III. History and varieties of probability
                                                                                                                                                                                                                                                                                • Appendix IV. John Arbuthnot's Preface to Of the laws of chance (1692)
                                                                                                                                                                                                                                                                                  • Appendix V. Table of distributions
                                                                                                                                                                                                                                                                                    • Appendix VI. Chronology
                                                                                                                                                                                                                                                                                      • Bibliography
                                                                                                                                                                                                                                                                                        • Notation
                                                                                                                                                                                                                                                                                          • Index

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