OracleProperty相关论文
Variable selection from the high-dimensional survival data is a fundamental and challenging approach in recent years....
Penalized empirical likelihood inference for sparse additive hazards regression with a divergent num
High-dimensional sparse modelling with censored survival data is of great practical importance,as exemplified by applica......
Regularized variable selection is a powerful tool for identifying the true regression model from a pool of candidates by......
M-estimation is a widely used technique for robust statistical inference.In this paper,we study the asymptotic propertie......
Weighted LAD-LASSO method for robust parameter estimation and variable selection for Partially Linea
We study robust parameter estimation and variable selection for partially linear models when the dimension of covariates......
