Continuous Strong Markov Processes in Dimension One A Stochastic Calculus Approach /
The book presents an in-depth study of arbitrary one-dimensional continuous strong Markov processes using methods of stochastic calculus. Departing from the classical approaches, a unified investigation of regular as well as arbitrary non-regular diffusions is provided. A general construction method...
Main Authors: | , |
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
1998.
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Edition: | 1st ed. 1998. |
Series: | Lecture Notes in Mathematics,
1688 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Basic concepts and preparatory results
- Classification of the points of the state space
- Weakly additive functionals and time change of strong Markov processes
- Semimartingale decomposition of continuous strong Markov semimartingales
- Occupation time formula
- Construction of continuous strong Markov processes
- Continuous strong Markov semimartingales as solutions of stochastic differential equations.