A Comparative Study of Loss Functions for Bayesian Control in Mixture Models
收藏DataCite Commons2020-08-02 更新2025-04-16 收录
下载链接：
http://siba-ese.unisalento.it/index.php/ejasa/article/view/12483
下载链接
链接失效反馈官方服务：
资源简介：
Berliner (1987) discussed the issue of controlling the output (response) towards the specified value by choosing the values for independent variables in a regression mixture model, taking it as a Bayesian Decision Problem. The quantification of the potential loss was done with the help of quadratic loss function, which was a symmetric loss function. We have tried to quantify this loss with the help of Precautionary Loss Function and Modified Squared Error Loss Function, in linear Scheff� mixture model and comparison is established between these loss function. Results are improved as compared to Berliner (1987).
提供机构：
University of Salento
创建时间：
2013-10-31
