Low, Mark G. Renormalization and white noise approximation for nonparametric functional estimation problems. (English) Zbl 0756.62018 Ann. Stat. 20, No. 1, 545-554 (1992). Authors’s summary: White noise models often renormalize exactly yielding optimal rates of convergence for pointwise nonparametric functional estimation problems. Similar rescaling ideas lead to a sequence of experiments appropriate for pointwise density estimation problems. Reviewer: W.Stute (Gießen) Cited in 9 Documents MSC: 62G07 Density estimation 62G20 Asymptotic properties of nonparametric inference Keywords:renormalization; white noise approximation; optimal rates of convergence; pointwise nonparametric functional estimation; rescaling; pointwise density estimation PDF BibTeX XML Cite \textit{M. G. Low}, Ann. Stat. 20, No. 1, 545--554 (1992; Zbl 0756.62018) Full Text: DOI OpenURL