The Stationary Distribution of Autonomous Ito Process
This paper outlines the conditions under which the stationary probability distribution function (PDF) of an autonomous Ito process stochastic diffirential equation (SDE) belongs to the generalized exponential family (GEF) of densities and the interaction between economic equilibria and stationary PDF modes.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||1996|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: +61 3 8344 5355
Fax: +61 3 8344 6899
Web page: http://www.economics.unimelb.edu.auEmail:
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:mlb:wpaper:510. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Aminata Doumbia)
If references are entirely missing, you can add them using this form.