Bayes Estimates for the Price and Income Elasticities of Alcoholic Beverages in Finland From 1955 to 1980
扩展了Lindley-Smith贝叶斯估计方法，用于处理回归系数随时间变化的多元回归方程，并应用于芬兰月度酒精消费数据，估计价格和收入弹性。
The Lindley–Smith theory of Bayes estimates for multiple regression equations with exchangeability between the regression coefficients of the individual equations is extended to the case in which a first-order autoregressive process generates the regression coefficients. The ensuing formulas are applied to study monthly Finnish consumption of alcohol. The point of this application is that exchangeability between the regression coefficients is less than we can assess beforehand when there is a natural ordering, in this case according to chronological time, of the equations. Still, the general task of the Lindley–Smith estimators, to consider the combined data when estimating individual regression coefficients, is a relevant one.