57 citations · 57 across the 4 of their papers we have counts for
4 papers
Variable selection and structure identification for varying coefficient Cox models
Toshio Honda, Ryota Yabe
We consider varying coefficient Cox models with high-dimensional covariates. We apply the group Lasso method to these models and propose a variable selection procedure. Our procedu…
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…