High Dimensional Data Regression Research Articles

Atan Regularized in Quantile Regression for High Dimensional Data

In this article, we proposed using a new version of penalty functions to estimate of parameters and variable selection in quantile regression. This version of the penalty depends on arctangent function called the atan penalty. Ridge and elastic-net are the penalties that are used to compare with the proposed estimator in quantile regression. A simulation study and the real data application showed that the proposed estimator is the best compred to the other estimators.

Space panel model costruction of the correlation between FDI and local economic policy based on high dimensional data regression analysis

Space panel model costruction of the correlation between FDI and local economic policy based on high dimensional data regression analysis