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

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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…