Higher Order Tangent Spaces and Influence Functions
Copyright policy )Higher Order Tangent Spaces and Influence Functions
We review higher order tangent spaces and influence functions and their use to construct minimax efficient estimators for parameters in high-dimensional semiparametric models.
Published in at http://dx.doi.org/10.1214/14-STS478 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
- Leiden University Netherlands
FOS: Computer and information sciences, Nonparametric robustness, Point estimation, minimax rate of convergence, Research exposition (monographs, survey articles) pertaining to statistics, U-statistic, semiparametric model, Methodology (stat.ME), Semiparametric model, \(U\)-statistic, Statistics - Methodology
FOS: Computer and information sciences, Nonparametric robustness, Point estimation, minimax rate of convergence, Research exposition (monographs, survey articles) pertaining to statistics, U-statistic, semiparametric model, Methodology (stat.ME), Semiparametric model, \(U\)-statistic, Statistics - Methodology
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).26 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!