Rank‐ordered logit models: An empirical analysis of Ontario voter preferences
用贝叶斯方法研究排序多项logit模型，包括使用共轭先验和其他先验，并检验无关选项独立性假设，以1988年加拿大联邦选举前安大略省选民偏好数据为例。
Abstract This study provides a Bayesian investigation of rank‐ordered multinominal logit models employing conjugate priors for standard multinomial logit models as well as other priors. Also considered is a specification test of the independence of irrelevant alternatives assumption. The proposed techniques are demonstrated in an empirical investigation of Ontario voter preferences before the 1988 Canadian Federal Election.