A spectral approach to simulating intrinsic random fields with power and spline generalized covariances

DOI10.1007/s10596-007-9064-8zbMath1143.65008OpenAlexW1994602532MaRDI QIDQ926012

Christian Lantuéjoul, Xavier Emery

Publication date: 26 May 2008

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-007-9064-8

zbMATH Keywords

fractional Brownian sheetde Wijs processgeneralized incrementspectral simulationturning bands method

Mathematics Subject Classification ID

Related Items (2)

The turning arcs: a computationally efficient algorithm to simulate isotropic vector-valued Gaussian random fields on the \(d\)-sphere ⋮ Simulation of intrinsic random fields of order \(k\) with Gaussian generalized increments by Gibbs sampling

Uses Software

• TBSIM

Cites Work

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• Refinement of the upper bound of the constant in the central limit theorem
• Korrelationstheorie der stationären stochastischen Prozesse
• New methods for simulation of fractional Brownian motion
• Analogies and correspondences between variograms and covariance functions
• First-order intrinsic autoregressions and the de Wijs process
• Generating gamma variates by a modified rejection technique
• Wavelet analysis and synthesis of fractional Brownian motion
• The intrinsic random functions and their applications
• Random Field Representation and Synthesis Using Wavelet Bases
• Local stationarity and simulation of self-affine intrinsic random functions
• Fractional Brownian Motions, Fractional Noises and Applications

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