496 citations · 835 across the 3 of their papers we have counts for
5 papers
A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
Jianqing Fan, Jinchi Lv
High dimensional statistical problems arise from diverse fields of scientific research and technological development. Variable selection plays a pivotal role in contemporary statis…
Non-Concave Penalized Likelihood with NP-Dimensionality
Jianqing Fan, Jinchi Lv
Penalized likelihood methods are fundamental to ultra-high dimensional variable selection. How high dimensionality such methods can handle remains largely unknown. In this paper, w…
Network exploration via the adaptive LASSO and SCAD penalties
Jianqing Fan, Yang Feng, Yichao Wu
Graphical models are frequently used to explore networks, such as genetic networks, among a set of variables. This is usually carried out via exploring the sparsity of the precisio…
Ultrahigh dimensional variable selection: beyond the linear model
Jianqing Fan, Richard Samworth, Yichao Wu
Variable selection in high-dimensional space characterizes many contemporary problems in scientific discovery and decision making. Many frequently-used techniques are based on inde…
High-dimensional classification using features annealed independence rules
Jianqing Fan, Yingying Fan
Classification using high-dimensional features arises frequently in many contemporary statistical studies such as tumor classification using microarray or other high-throughput dat…