Cover Image

Unanticipated Features of the Multidimensional G-Normal Distribution

In one dimension, the theory of the G-normal distribution is well-developed, and many results from the classical setting have a nonlinear counterpart. Significant challenges remain in multiple dimensions, and some of what has already been discovered is quite nonintuitive. By answering several classically-inspired questions concerning independence, covariance uncertainty, and behavior under certain linear operations, we continue to highlight the fascinating range of unexpected attributes of the multidimensional G-normal distribution
Year of publication:
2014
Authors: Bayraktar, Erhan
Other Persons: Munk, Alexander (contributor)
Publisher: [2014]: [S.l.] : SSRN
freely available
Full text |
doi.org
Check Google Scholar
In German libraries (KVK)
I need help

Which error do you want to report?

Report: URL of this record is broken

Please note: Sometimes more than one URL is available for a resource. Please click on "More Options" to display these URLs

Report: Addition of an URL to that resource

Please note: Sometimes more than one URL is available for a resource. Please click on "More Options" to display these URLs

Report: The language(s) of that resource is/are…

Please note: Required language not in the list? Please use comment field

Report: Addition of an identifier to that resource

Report: report typo

Report: Add statement

Report: Add keywords

Please use the commentary box to describe other errors

Would you like to receive a feedback?

Please type the code from the image

For general questions please use this address.

Persistent link: https://www.econbiz.de/10013050641
Similar items by person