Estimating Damages in a Class Action Litigation
针对集体诉讼中实际损害赔偿未知的问题，评估了多种估算方法，发现实践中常用的估算器存在严重偏差，而经验贝叶斯和经验最小均方误差估算器更为可靠。
In a class action litigation, actual damages are not known exactly and must be estimated. Various estimators are proposed and assessed by using a model that identifies possible sources of error. Estimators that have been used in practice are shown to be seriously biased. An empirical Bayes estimator and an empirical minimal mean squared error estimator are found to be more satisfactory methods for estimating damages.