114 citations · 114 across the 5 of their papers we have counts for
5 papers
Factor-guided functional PCA for high-dimensional functional data
Shoudao Wen, Huazhen Lin
The literature on high-dimensional functional data focuses on either the dependence over time or the correlation among functional variables. In this paper, we propose a factor-guid…
Two-directional simultaneous inference for high-dimensional models
Wei Liu, Huazhen Lin, Jin Liu +1
This paper proposes a general two directional simultaneous inference (TOSI) framework for high-dimensional models with a manifest variable or latent variable structure, for example…
Semiparametric regression of mean residual life with censoring and covariate dimension reduction
Ge Zhao, Yanyuan Ma, Huazhen Lin +1
We propose a new class of semiparametric regression models of mean residual life for censored outcome data. The models, which enable us to estimate the expected remaining survival…
Covariance-Insured Screening
Kevin He, Jian Kang, Hyokyoung Grace Hong +5
Modern bio-technologies have produced a vast amount of high-throughput data with the number of predictors far greater than the sample size. In order to identify more novel biomarke…
Local partial-likelihood estimation for lifetime data
Jianqing Fan, Huazhen Lin, Yong Zhou
This paper considers a proportional hazards model, which allows one to examine the extent to which covariates interact nonlinearly with an exposure variable, for analysis of lifeti…