On choosing a non-integer resolution level when using wavelet methods

DOI10.1016/S0167-7152(96)00159-9zbMath0899.62051MaRDI QIDQ1380623

Guy P. Nason, Hall, Peter

Publication date: 15 November 1998

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

bandwidthmean squared errordensity estimationcurve estimationkernel estimatornonparametric regressionwavelet methodsdyadic expansion

Mathematics Subject Classification ID

Density estimation (62G07) Probabilistic methods, stochastic differential equations (65C99)

Related Items

Using wavelets for data smoothing: A simulation study, Data-reduction method for spatial data using a structured wavelet model, Wavelet analysis of change-points in a non-parametric regression with heteroscedastic variance

Uses Software

• KernSmooth
• BRENT

Cites Work

• Formulae for mean integrated squared error of nonlinear wavelet-based density estimators
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