论文标题
贝叶斯对多项式细胞概率的估计，结合了汇总观察的信息
Bayesian Estimation of Multinomial Cell Probabilities Incorporating Information from Aggregated Observations
论文作者
论文摘要
在本说明中，我们考虑当汇总数据中的侧面信息可用时估计熵损失下多项式细胞概率的问题。在获得贝叶斯估计器之前，我们使用Jeffreys。结果表明，通过合并侧面信息，我们可以构建一个改进的估计器。
In this note, we consider the problem of estimating multinomial cell probabilities under the entropy loss when side information in aggregated data is available. We use the Jeffreys prior to obtain Bayes estimators. It is shown that by incorporating the side information, we can construct an improved estimator.
