Stochastic Processes

A readily accessible introduction to the theory of stochastic processes with emphasis on processes with independent increments and Markov processes. After preliminaries on infinitely divisible distributions and martingales, Chapter 1 gives a thorough treatment of the decomposition of paths of processes with independent increments. Chapter 2 contains a detailed treatment of time-homogeneous Markov processes from the viewpoint of probability measures on path space. Two separate Sections present about 70 exercises and their complete solutions. The text and exercises are carefully edited and footnoted, while retaining the style of the original lecture notes from Aarhus University.

Very gentle and detailed introduction to the theory of stochastic processes with emphasis on Levy processes and Markov processes Exercises (about 70) are accompanied by complete solutions Proof by Ito himself of the celebrated Levy-Ito decomposition of paths of Levy processes Carefully edited and footnoted, while retaining the lecturing style of the original notes Includes supplementary material: sn.pub/extras

Inhalt
0 Preliminaries.- 1 Additive Processes (Processes with Independent Increments).- 2 Markov Processes.- Exercises.- E.0 Chapter 0.- E.1 Chapter 1.- E.2 Chapter 2.- Appendix: Solutions of Exercises.- A.0 Chapter 0.- A.1 Chapter 1.- A.2 Chapter 2.