Share
Markov Processes, Gaussian Processes, and Local Times Hardback (Cambridge Studies in Advanced Mathematics)
Michael B. Marcus
(Author)
·
Jay Rosen
(Author)
·
Cambridge University Press
· Hardcover
Markov Processes, Gaussian Processes, and Local Times Hardback (Cambridge Studies in Advanced Mathematics) - Marcus, Michael B. ; Rosen, Jay
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Monday, July 29 and
Monday, August 05.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Markov Processes, Gaussian Processes, and Local Times Hardback (Cambridge Studies in Advanced Mathematics)"
Written by two foremost researchers in the field, this book studies the local times of Markov processes by employing isomorphism theorems that relate them to certain associated Gaussian processes. It builds to this material through self-contained but harmonized 'mini-courses' on the relevant ingredients, which assume only knowledge of measure-theoretic probability. The streamlined selection of topics creates an easy entrance for students and for experts in related fields. The book starts by developing the fundamentals of Markov process theory and then of Gaussian process theory, including sample path properties. It then proceeds to more advanced results, bringing the reader to the heart of contemporary research. It presents the remarkable isomorphism theorems of Dynkin and Eisenbaum, then shows how they can be applied to obtain new properties of Markov processes by using well-established techniques in Gaussian process theory. This original, readable book will appeal to both researchers and advanced graduate students.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
✓ Producto agregado correctamente al carro, Ir a Pagar.
