Jump to ContentJump to Main Navigation
Stochastic Population ProcessesAnalysis, Approximations, Simulations$
Users without a subscription are not able to see the full content.

Eric Renshaw

Print publication date: 2011

Print ISBN-13: 9780199575312

Published to Oxford Scholarship Online: September 2011

DOI: 10.1093/acprof:oso/9780199575312.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 17 September 2021

Markov processes in continuous time and space

Markov processes in continuous time and space

(p.295) 6 Markov processes in continuous time and space
Stochastic Population Processes

Eric Renshaw

Oxford University Press

Having dealt with processes in discrete space, and discrete and continuous time, this chapter investigates Markov processes in continuous space and time. It follows a natural progression through the Wiener process, the Fokker–Planck diffusion equation and the Ornstein–Uhlenbeck process, and tracks the relationships between them. When barriers are introduced theoretical development is not straightforward, so care needs to be taken when constructing solutions.

Keywords:   Markov process, Wiener process, Fokker–Planck diffusion equation, Ornstein–Uhlenbeck process

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .