A characterization of conjugate priors in exponential families with application to inverse regression

2013 ◽  
Vol 83 (2) ◽  
pp. 650-654 ◽  
Author(s):  
Wei Luo ◽  
Naomi S. Altman
1996 ◽  
Vol 48 (3) ◽  
pp. 573-576 ◽  
Author(s):  
T. T. Nguyen ◽  
A. K. Gupta ◽  
Y. Wang
Keyword(s):  

1974 ◽  
Vol 8 (1) ◽  
pp. 77-90 ◽  
Author(s):  
William S. Jewell

AbstractThe credibility formula used in casualty insurance experience rating is known to be exact for certain prior-likelihood distributions, and is the minimum least-squares unbiased estimator for all others. We show that credibility is, in fact, exact for all simple exponential families where the mean is the sufficient statistic, and is also exact in an extended sense for all regular distributions with their natural conjugate priors where there is a fixed-dimensional sufficient statistic.


2006 ◽  
Vol 43 (03) ◽  
pp. 741-754 ◽  
Author(s):  
Birgit Niese

We study exponential families within the class of counting processes and show that a mixed Poisson process belongs to an exponential family if and only if it is either a Poisson process or has a gamma structure distribution. This property can be expressed via exponential martingales.


2010 ◽  
Vol 80 (11-12) ◽  
pp. 939-944 ◽  
Author(s):  
Abdelaziz Ghribi ◽  
Afif Masmoudi

2006 ◽  
Vol 43 (3) ◽  
pp. 741-754 ◽  
Author(s):  
Birgit Niese

We study exponential families within the class of counting processes and show that a mixed Poisson process belongs to an exponential family if and only if it is either a Poisson process or has a gamma structure distribution. This property can be expressed via exponential martingales.


Sign in / Sign up

Export Citation Format

Share Document