Consider a scenario where we have access to train data with both covariates
and outcomes while test data only contains covariates. In this scenario, our
primary aim is to predict the missing outcomes of the test data. With this
objective in mind, we train parametric regression models under a covariate
shift, where covariate distributions are different betwee