出版社:科学出版社
年代:2014
定价:20.0
本书内容涉及非线性概率的极限理论和G-布朗运动的相关应用,既有理论的创新,又有在实际问题中的应用部分。柯尔莫哥洛夫建立了概率论公理系统,1933年勒贝格的测量理论和集成,使概率论是研究随机或不确定性现象的重要工具。
Chapter 1 Limit theory about capacity
1.1 Law of large numbers for capacity
1.1.1 Ambiguity urn models
1.1.2 Law of large numbers for Bernoulli trials with ambiguity
1.1.3 General urn models
1.2 Weighted central limit theorem under sublinear expectations
1.2.1 Notations and preliminaries
1.2.2 Main result and proof
1.3 Berry—Esseen theory under linear expectation
1.4 Central limit theorem for capacity
Chapter 2 Discrete martingale under sublinear expectation
2.1 Definitions
2.2 SL—martingale and related inequalities
Chapter 3 Multi—dimensional G—Brownian motion
3.1 Kunita—Watanabe inequalities for multi—dimensional G—Brownian motion
3.1.1 Preliminaries
3.1.2 Mutual variation process and Kunita—Watanabe inequalities for multi—dimensional G—Brownian motion
3.2 Tanaka formula for multi—dimensional G—Brownian motion
Chapter 4 Stability problem for stochastic differential equations driven by G—Browman motion
4.1 Stability theorem for stochastic differential equations driven by G—Brownian motion
4.1.1 Stability theorem for G—SDE under integral—Lipschitz condition
4.1.2 Stability about backward stochastic differential equations driven by G—Brownian motion
4.1.3 Existence and uniqueness for forward—backward stochastic differential equations driven by G—Brownian motion
4.1.4 Stability about forward—backward stochastic differential equations driven by G—Brownian motion
4.2 Exponential stability for stochastic differential equations driven by G—Brownian motion
4.2.1 Asymptotic Exponential stability for stochastic differential equations driven by G—Brownian motion
Optimal control problems under G—expectation
4.3.1 Forward and backward stochastic differential equations driven by G—Brownian motion
4.3.2 Optimal control problems under G—expectation
Chapter 5 Applications about G—Brownian motion in optimal consumption and portfolio
5.1 Preliminaries
5.2 Optimal consumption and portfolio Rules under volatility uncertainty
5.3 Mutual fund theorem under volatility uncertainty
5.4 A special case
Chapter 6 Functional solution about stochastic differential equation driven by G—Brownian motion
6.1 Introduction
6.2 Functional solution about stochastic differential equation driven by G—Brownian motion
6.3 Some classical models
6.3.1 Autonomous case
6.3.2 One—factor Hull—White model
6.3.3 Homogeneous linear G—stochastic differential equations
6.4 Conclusion
Bibliography
Symbol Index
《容量限制理论和相关应用非线性数学期望(英文版)》内容分为六章。它们分别是:Chapter 1 Limit theory about capacity、Chapter 2 Discrete martingale under sublinear expectation、Chapter 3 Multi—dimensional G—Brownian motion、Chapter 4 Stability problem for stochastic differential equations driven by G—Browman motion、Chapter 5 Applications about G—Brownian motion in optimal consumption and portfolio、Chapter 6 Functional solution about stochastic differential equation driven by G—Brownian motion、Bibliography Symbol、Index。
书籍详细信息 | |||
书名 | 容量限制理论和相关应用非线性数学期望站内查询相似图书 | ||
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出版地 | 北京 | 出版单位 | 科学出版社 |
版次 | 1版 | 印次 | 1 |
定价(元) | 20.0 | 语种 | 英文 |
尺寸 | 24 × 17 | 装帧 | 平装 |
页数 | 120 | 印数 |
容量限制理论和相关应用非线性数学期望是科学出版社于2014.12出版的中图分类号为 O211.67 的主题关于 非线性-数学期望-研究-英文 的书籍。