In this paper,we consider the Stein-Type approach to the estimation of the regression parameter in a multiple regression model under a multicollinearity situation.
We present a new framework on structural similarities and differences between multiple high-dimensional Gaussian graphical models(GGMs)over a set of nodes under distinct experimental conditions.
This paper studies the asymptotic properties of the adaptive elastic net in ultra-high dimensional sparse linear regression models and proposes a new method called SSLS(Separate Selection from Least S
In recent years,effective monitoring of data quality has increasingly attracted attention of researchers in the area of statistical process control(SPC).