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多个预测目标的联合连续统回归AI 解读

This article generalizes continuum regression (CR) in the hope that regressors “jointly constructed” for several predictands might improve on the separate prediction of individual predictands. The generalization developed is a mixture of principal components regression and de Jong's modification of partial least squares for multiple predictands. The balance of ingredients can be chosen by cross-validation, as can the number of regressors constructed. The new method has been…

均匀先验导致的强不一致性AI 解读

Behavior of this type will be called strong inconsistency. Box and Tiao [2, p. 310] might, apparently, tolerate such behavior by the simple device of ignoring (1.3), which, based on a sampling distribution, is regarded as irrelevant to the Bayesian inference. In support orf this, Box and Tiao [2, p. 304] could employ once again a form of argument used to defend a particular improper prior in their analysis of the random effects model; namely, that (a) for any particular x,…