Local and global asymptotic inference in smoothing spline models
By Zuofeng Shang, Guang Cheng. 2012
65 citations recorded by the source corpus.
This article studies local and global inference for smoothing splineestimation in a unified asymptotic framework. We first introduce anew technical tool called functional Bahadur representation, whichsignificantly generalizes the traditional Bahadur representation inparametric models, that is, Bahadur [
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a50550612c335136c541b1910df4c71eddd7f16f
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In Statistics and Probability
Citations in the corpus
- Nonparametric inference in generalized functional linear models (2014, methodology): “Section 8 discusses the technical connection between our work and [26].”