Fitting Continuous ARMA Models to Unequally Spaced Spatial Data

DOI10.2307/2290786zbMath0800.62535OpenAlexW4230784708MaRDI QIDQ3142138

Aldo V. Vecchia, Richard H. Jones

Publication date: 20 December 1993

Full work available at URL: https://doi.org/10.2307/2290786

zbMATH Keywords

best linear unbiased predictionuniversal Krigingrational spectral densitymixed linear models

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)

Related Items (11)

Partial autocorrelation function for spatial processes ⋮ Covariance Functions for Gaussian Laplacian Fields in Higher Dimension ⋮ A spectral approach to estimation and smoothing of continuous spatial processes ⋮ Sparse matrix tools for Gaussian models on lattices ⋮ Unnamed Item ⋮ Non-nested testing of spatial correlation ⋮ Block-band behavior of spatial correlations: an analytical asymptotic study in a spatial exponential family data setup ⋮ Variable family size based spatial moving correlations model ⋮ An overview on econometric models for linear spatial panel data ⋮ Unnamed Item ⋮ Possible long-range dependence in fractional random fields.

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