Bayesian Modeling and Computations in Final-Offer Arbitration
构建了一个贝叶斯模型来分析最终报价仲裁中的出价行为，使用马尔可夫链算法进行后验计算，并以美国职业棒球大联盟的薪资数据为例进行说明。
AbstractThis article develops a Bayesian model for the analysis of bidding behavior in final-offer arbitration. Posterior calculations are obtained using a Markov chain algorithm. An example is considered using salary data from Major League Baseball.KEY WORDS: Latent variableMajor League BaseballMarkov chain Monte Carlo