193 citations · 438 across the 22 of their papers we have counts for
7 papers · 1 filter
Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations
Hai Shu, Bin Nan
We consider the estimation of large covariance and precision matrices from high-dimensional sub-Gaussian or heavier-tailed observations with slowly decaying temporal dependence. Th…
Estimating mean survival time: when is it possible?
Ying Ding, Bin Nan
For right censored survival data, it is well known that the mean survival time can be consistently estimated when the support of the censoring time contains the support of the surv…
A general semiparametric Z-estimation approach for case-cohort studies
Bin Nan, Jon A. Wellner
Case-cohort design, an outcome-dependent sampling design for censored survival data, is increasingly used in biomedical research. The development of asymptotic theory for a case-co…
Non-asymptotic Oracle Inequalities for the High-Dimensional Cox Regression via Lasso
Shengchun Kong, Bin Nan
We consider the finite sample properties of the regularized high-dimensional Cox regression via lasso. Existing literature focuses on linear models or generalized linear models wit…
A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data
Ying Ding, Bin Nan
In many semiparametric models that are parameterized by two types of parameters---a Euclidean parameter of interest and an infinite-dimensional nuisance parameter---the two paramet…
Asymptotic theory for the semiparametric accelerated failure time model with missing data
Bin Nan, John D. Kalbfleisch, Menggang Yu
We consider a class of doubly weighted rank-based estimating methods for the transformation (or accelerated failure time) model with missing data as arise, for example, in case-coh…