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稀疏包络模型：多元线性回归的高效估计与响应变量选择AI 解读

The envelope model allows efficient estimation in multivariate linear regression. In this paper, we propose the sparse envelope model, which is motivated by applications where some response variables are invariant with respect to changes of the predictors and have zero regression coefficients. The envelope estimator is consistent but not sparse, and in many situations it is important to identify the response variables for which the regression coefficients are zero. The…

多事件时间数据的边际比例风险模型AI 解读

The Wei et al. (1989) semiparametric approach to the analysis of multiple event‐time data assumes that each event time is related to covariates through a proportional hazards model with a completely unspecified baseline hazard function, but does not impose any constraint on the joint distribution of different event times. As a result of the order restriction, it is not clear whether or not event times can simultaneously satisfy their respective marginal proportional hazards…