Introduction to Stochastic Processes (English Version) (English Version)

Author: Edward P. C. Kao
Publisher:
Publication Date: 2003-07-01
Features: This book is written for students interested in learning the concepts, models, and computational methods of stochastic processes. It serves as an introductory textbook for a stochastic processes course and is suitable for upper-level undergraduate or early graduate students in management, finance, engineering, statistics, computer science, and applied mathematics. The book adopts an application-oriented and computational approach, emphasizing the development of students' practical skills in stochastic modeling and analysis through various examples and exercises, while leaving computational tasks to be completed by computers. Stochastic processes are the discipline of modeling and analyzing random phenomena that change over time and space. Many years ago, stochastic processes could not be applied to solve real-world problems, but with the rapid development of numerical methods and computational tools, this situation has changed. The book effectively combines the use of computers with stochastic process teaching, employing MATLAB-based computational methods to make the book feel modern yet practical. The book adopts an application-oriented and computational approach, emphasizing the development of students' practical skills in stochastic modeling and analysis through various examples and exercises, while leaving computational tasks to be completed by computers. This book is written for students interested in learning the concepts, models, and computational methods of stochastic processes. It serves as an introductory textbook for a stochastic processes course and is suitable for upper-level undergraduate or early graduate students in management, finance, engineering, statistics, computer science, and applied mathematics.