Automatic spectral density estimation for random fields on a lattice via bootstrap

DOI10.1007/s11749-007-0059-5zbMath1203.62163OpenAlexW2163722142MaRDI QIDQ619084

Jose M. Vidal-Sanz

Publication date: 22 January 2011

Published in: Test (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10016/7344

zbMATH Keywords

bootstrapspectral densityspatial datasmoothing numberuniform asymptotic distribution

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Density estimation (62G07) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Inference from stochastic processes and spectral analysis (62M15)

Related Items (4)

Asymptotic spectral theory for spatial data ⋮ On a class of minimum contrast estimators for Gegenbauer random fields ⋮ Autoregressive spatial spectral estimates ⋮ Exploring spectral density estimation for spatial linear process with mixing innovations

Uses Software

• spatial

Cites Work

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