57 citations · 91 across the 8 of their papers we have counts for
4 papers · 1 filter
Greedy Forward Regression for Variable Screening
Ming-Yen Cheng, Sanying Feng, Gaorong Li +1
Two popular variable screening methods under the ultra-high dimensional setting with the desirable sure screening property are the sure independence screening (SIS) and the forward…
Efficient estimation in semivarying coefficient models for longitudinal/clustered data
Ming-Yen Cheng, Toshio Honda, Jialiang Li
In semivarying coefficient models for longitudinal/clustered data, usually of primary interest is usually the parametric component which involves unknown constant coefficients. Fir…
Forward variable selection for sparse ultra-high dimensional varying coefficient models
Ming-Yen Cheng, Toshio Honda, Jin-Ting Zhang
Varying coefficient models have numerous applications in a wide scope of scientific areas. While enjoying nice interpretability, they also allow flexibility in modeling dynamic imp…
Nonparametric independence screening and structure identification for ultra-high dimensional longitudinal data
Ming-Yen Cheng, Toshio Honda, Jialiang Li +1
Ultra-high dimensional longitudinal data are increasingly common and the analysis is challenging both theoretically and methodologically. We offer a new automatic procedure for fin…