A frequency domain comparison of estimation methods for gaussian fields

DOI10.1080/03610929808832230zbMath0907.62100OpenAlexW2080902064MaRDI QIDQ4216596

Neil A. Butler

Publication date: 3 November 1998

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929808832230

zbMATH Keywords

smoothingmaximum likelihood estimationimage restorationmaximum pseudolikelihood estimationconditional autoregressionsgeneralised cross-validationintrinsic autoregressionstrend-error models

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)

Related Items (4)

Asymptotic behavior of RA-estimates in autoregressive 2D processes ⋮ Properties of Designs in Experiments on Spatial Lattices ⋮ Efficient likelihood computations for some multivariate Gaussian Markov random fields ⋮ A frequency domain algorithm for maximum likelihood estimation of gaussian fields

Cites Work

• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Efficiency of pseudolikelihood estimation for simple Gaussian fields
• Fast computation of a discretized thin-plate smoothing spline for image data

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