Abstract
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.
Citation
Mark G. Low. "Renormalization and White Noise Approximation for Nonparametric Functional Estimation Problems." Ann. Statist. 20 (1) 545 - 554, March, 1992. https://doi.org/10.1214/aos/1176348538
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