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CONDITIONAL EXPECTATION FORMULAE FOR COPULAS

Australian & New Zealand Journal of Statistics, 2008
SummaryNot only are copula functions joint distribution functions in their own right, they also provide a link between multivariate distributions and their lower‐dimensional marginal distributions. Copulas have a structure that allows us to characterize all possible multivariate distributions, and therefore they have the potential to be a very useful ...
Crane, G., Van Der Hoek, J.
openaire   +3 more sources

Conditional Expectations and Idempotent Copulæ

2002
Abstract A connection between conditional expectations and idempotent copulas is established. It is proved that there exists a one-to-one correspondence between conditional expectations and copulas that are idempotent with respect to the binary operation introduced by Darsow, Nguyen and Olsen.
openaire   +3 more sources

Conditional Expected Utility

Econometrica, 1971
Luce, R Duncan, Krantz, David H
openaire   +2 more sources

Conditional expectation

2019
Joseph K. Blitzstein, Jessica Hwang
openaire   +2 more sources

On the Optimality of Conditional Expectation as a Bregman Predictor

IEEE Transactions on Information Theory, 2005
Arindam Banerjee
exaly  

Conditional Expectation

1989
Hung T. Nguyen, Gerald S. Rogers
openaire   +1 more source

Multivariate tail conditional expectation for elliptical distributions

Insurance: Mathematics and Economics, 2016
Zinoviy Landsman   +2 more
exaly  

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