A NOTE ON BAYESIAN-INFERENCE IN A REGRESSION-MODEL WITH ELLIPTIC ERRORS

被引:14
|
作者
OSIEWALSKI, J [1 ]
机构
[1] CORE,B-1348 LOUVAIN,BELGIUM
关键词
D O I
10.1016/0304-4076(91)90037-E
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this note estimation and prediction is considered for a (linear or nonlinear) regression model with the error vector distributed as a scale mixture of multivariate normal distributions. The results obtained for the linear model by Zellner (1976), Jammalamadaka et al. (1987), and Chib et al. (1988) are explained and generalized to much more general classes of regression models and prior distributions.
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页码:183 / 193
页数:11
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