most citedA sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data

68 citations · 89 across the 3 of their papers we have counts for

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math.ST2012

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…

math.ST2012★ 21 cited

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…

math.ST2012★ 68 cited

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…