出版時(shí)間:2006-5 出版社:世界圖書出版公司(此信息作廢) 作者:愛卡拉察斯 頁數(shù):470
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前言
Two of the most fundamental concepts in the theory of stochastic processes are the Markov property and the martingale property.* This book is written for readers who are acquainted with both of these ideas in the discrete-time setting, and who now wish to explore stochastic processes in their continuoustime context. It has been our goal to write a systematic and thorough exposition of this subject, leading in many instances to the frontiers of knowledge.At the same time, we have endeavored to keep the mathematical prerequisites as low as pos..
內(nèi)容概要
本書是Springer《數(shù)學(xué)研究生叢書》之113卷,是國內(nèi)外公認(rèn)的金融數(shù)學(xué)經(jīng)典教材,各章有習(xí)題詳解。本書初版于1988年,1991年出第2版,之后Springer已重印8次,本書是2005年的第8次重印版。
書籍目錄
Preface Suggestions for the Reader Interdependence of the Chapters Frequently Used Notation CHAPTER 1 Martingales, Stopping Times, and Filtrations 1.1. Stochastic Processes and (y-Fields 1.2. Stopping Times 1.3. Continuous-Time Martingales 1.4. The Doob-Meyer Decomposition 1.5. Continuous, Square-Integrable Martingales 1.6. Solutions to Selected Problems 1.7. Notes CHAPTER 2 Brownian Motion 2.1. Introduction 2.2. First Construction of Brownian Motion 2.3. Second Construction of Brownian Motion 2.4. The Space C[0, ∞), Weak Convergence, and Wiener Measure 2.5. The Markov Property 2.6. The Strong Markov Property and the Reflection Principle 2.7. Brownian Filtrations 2.8. Computations Based on Passage Times 2.9. The Brownian Sample Paths 2.10. Solutions to Selected Problems 2.11. NotesCHAPTER 3 Stochastic Integration 3.1 Introduction 3.2 Construction of the Stochastic Integral 3.3 The Change-of-Variable Formula 3.4 Representations of Continuous Martingales in Terms of Brownian Motion ……CHAPTER 4 Brownian Motion and Partial Differential EquationsCHAPTER 5 Stochastic Differential EquationsCHAPTER 6 P.Levy's Theory of Brownian Local TimeBibliographyIndex
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