On the use of different metrics for assessing complex pattern reproductions

DOI10.1080/02664763.2012.754853OpenAlexW1995590133MaRDI QIDQ5128965

S. De Iaco

Publication date: 26 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2012.754853

zbMATH Keywords

convergencesimilarity measuresstochastic simulationmultiple-point statisticshigh-order cumulants

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• SGeMS
• HOSIM

Cites Work

• Extrapolating the fractal characteristics of an image using scale-invariant multiple-point statistics
• High-order statistics of spatial random fields: Exploring spatial cumulants for modeling complex non-Gaussian and non-linear phenomena
• Filter-based classification of training image patterns for spatial simulation
• Multiple-point simulations constrained by continuous auxiliary data
• Representing spatial uncertainty using distances and kernels
• Stationarity scores on training images for multipoint geostatistics
• Two-dimensional conditional simulations based on the wavelet decomposition of training images
• Convergence of realization-based statistics to model-based statistics for the LU unconditional simulation algorithm: some numerical tests
• Spatial connectivity: from variograms to multiple-point measures
• Conditional simulation of complex geological structures using multiple-point statistics
• Markov Random Fields with Higher-order Interactions
• Higher Order Models using Entropy, Markov Random Fields and Sequential Simulation
• Stochastic simulation of patterns using distance-based pattern modeling
• High-order stochastic simulation of complex spatially Distributed natural phenomena

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