Hunt process
In probability theory, a Hunt process is a strong Markov process which is quasi-left continuous with respect to the minimum completed admissible filtration .
It is named after Gilbert Hunt.
References
- Chung, Kai Lai; Walsh, John B. (2006), "Chapter 3. Hunt Process", Markov Processes, Brownian Motion, and Time Symmetry, Grundlehren der mathematischen Wissenschaften, vol. 249 (2nd ed.), Springer, pp. 75ff, ISBN 9780387286969
- Krupka, Demeter (2000), Introduction to Global Variational Geometry, North-Holland Mathematical Library, vol. 23, Elsevier, pp. 87ff, ISBN 9780080954295
- Applebaum, David (2009), Lévy Processes and Stochastic Calculus, Cambridge Studies in Advanced Mathematics, Cambridge University Press, p. 196, ISBN 9780521738651
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.