Abstract
Renormalization arguments are used to derive optimal rates of convergence, under integrated squared error loss, for parameter spaces having a certain rectangular structure.
Citation
Mark G. Low. "Renormalizing Upper and Lower Bounds for Integrated Risk in the White Noise Model:." Ann. Statist. 21 (2) 577 - 589, June, 1993. https://doi.org/10.1214/aos/1176349137
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