论文检索

利用专家判断估计稀有误差AI 解读

Cox & Snell (1979) investigate inference about the total population error when most observations are zero. Their approach is parametric and assumes that errors are positive. Empirical evidence indicates, however, that negative errors are not uncommon and that the error distribution is unlikely to be modelled by any standard parametric distribution. We propose a more general nonparametric approach that uses Ferguson's Dirichlet process. Our model allows the investigator to…

利用专家判断估计稀有误差AI 解读

Cox & Snell (1979) investigate inference about the total population error when most observations are zero. Their approach is parametric and assumes that errors are positive. Empirical evidence indicates, however, that negative errors are not uncommon and that the error distribution is unlikely to be modelled by any standard parametric distribution. We propose a more general nonparametric approach that uses Ferguson's Dirichlet process. Our model allows the investigator to…

摘要暂缺