论文标题
社会选择的最佳统计假设检验
Optimal Statistical Hypothesis Testing for Social Choice
论文作者
论文摘要
我们在本文中解决了以下问题：“社会选择的最健壮的统计方法是什么？”通过利用Neyman-Pearson框架中统一的最低良好分布理论来进行有限的模型和随机测试，我们表征了均匀强大的（UMP）测试，这是一个良好的统计量，该模型是均等的，该模型是备用的，是否既适用于W.R.T.T.R.T.R.T.R.T。 Condorcet的模型分别。
We address the following question in this paper: "What are the most robust statistical methods for social choice?'' By leveraging the theory of uniformly least favorable distributions in the Neyman-Pearson framework to finite models and randomized tests, we characterize uniformly most powerful (UMP) tests, which is a well-accepted statistical optimality w.r.t. robustness, for testing whether a given alternative is the winner under Mallows' model and under Condorcet's model, respectively.
