A new computational model of high-order stochastic simulation based on spatial Legendre moments
From MaRDI portal
Publication:1629756
DOI10.1007/s11004-018-9744-zzbMath1404.86036OpenAlexW2805870952WikidataQ92733207 ScholiaQ92733207MaRDI QIDQ1629756
Lingqing Yao, Roussos Dimitrakopoulos, Michel Gamache
Publication date: 12 December 2018
Published in: Mathematical Geosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11004-018-9744-z
Related Items
A new non-stationary high-order spatial sequential simulation method ⋮ High-order data-driven spatial simulation of categorical variables ⋮ High-order sequential simulation via statistical learning in reproducing kernel Hilbert space ⋮ Training image free high-order stochastic simulation based on aggregated kernel statistics ⋮ High-order block support spatial simulation method and its application at a gold deposit
Uses Software
Cites Work
- Generalized sequential Gaussian simulation on group size \(\nu\) and screen-effect approximations for large field simulations
- Generalized Laguerre expansions of multivariate probability densities with moments
- A polynomial approximation for arbitrary functions
- Fast wavelet-based stochastic simulation using training images
- Solving speed and memory issues in multiple-point statistics simulation program SNESIM
- 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
- High-order spatial simulation using Legendre-like orthogonal splines
- Joint high-order simulation of spatially correlated variables using high-order spatial statistics
- Conditional simulation of complex geological structures using multiple-point statistics
- On the convergence rates of Legendre approximation
- Remarks on a Multivariate Transformation
- Stochastic simulation of patterns using distance-based pattern modeling
- High-order stochastic simulation of complex spatially Distributed natural phenomena
