Yueyong Shi
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View article: Weighted estimated pseudo-partial likelihood method for correlated failure time data with auxiliary covariates
Weighted estimated pseudo-partial likelihood method for correlated failure time data with auxiliary covariates Open
quadratic inference function, QIF) 发展了另一种加权估计方程方法.本文在 WLW 模型 [10] 框架下对不完全观 测的带辅助协变量的相关失效时间数据进行分析
View article: SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties
SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties Open
We propose a semismooth Newton algorithm for pathwise optimization (SNAP) for the LASSO and Enet in sparse, high-dimensional linear regression. SNAP is derived from a suitable formulation of the KKT conditions based on Newton derivatives. …
View article: Penalized variable selection procedure for Cox proportional hazards model via seamless-$\boldsymbol{L_0}$ penalty
Penalized variable selection procedure for Cox proportional hazards model via seamless-$\boldsymbol{L_0}$ penalty Open
View article: A Semi-Smooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning
A Semi-Smooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning Open
The smoothly clipped absolute deviation (SCAD) and the minimax concave penalty (MCP) penalized regression models are two important and widely used nonconvex sparse learning tools that can handle variable selection and parameter estimation …
View article: Semi-Smooth Newton Algorithm for Non-Convex Penalized Linear Regression
Semi-Smooth Newton Algorithm for Non-Convex Penalized Linear Regression Open
Both the smoothly clipped absolute deviation (SCAD) and the minimax concave
penalty (MCP) penalized linear regression models are capable of dealing with
variable selection and parameter estimation simultaneously. Theoretically,
these two m…