Training image free high-order stochastic simulation based on aggregated kernel statistics

DOI10.1007/s11004-021-09923-3zbMath1477.86034OpenAlexW3130665650MaRDI QIDQ2066809

Lingqing Yao, Michel Gamache, Roussos Dimitrakopoulos

Publication date: 14 January 2022

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

Full work available at URL: https://doi.org/10.1007/s11004-021-09923-3

zbMATH Keywords

spatial statisticsstatistical learningkernel spacehigh-order sequential simulation

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Learning and adaptive systems in artificial intelligence (68T05) Geostatistics (86A32)

Related Items (3)

A new non-stationary high-order spatial sequential simulation method ⋮ High-order data-driven spatial simulation of categorical variables ⋮ One step at a time: the origins of sequential simulation and beyond

Uses Software

• SGeMS
• HOSIM

Cites Work

• Unnamed Item
• Unnamed Item
• 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
• A new computational model of high-order stochastic simulation based on spatial Legendre moments
• Joint high-order simulation of spatially correlated variables using high-order spatial statistics
• Fast and interactive editing tools for spatial models
• Enhanced multiple-point statistical simulation with backtracking, forward checking and conflict-directed backjumping
• Conditional simulation of complex geological structures using multiple-point statistics
• High-order sequential simulation via statistical learning in reproducing kernel Hilbert space
• High-order block support spatial simulation method and its application at a gold deposit
• Support Vector Machines
• A Hilbert Space Embedding for Distributions
• Kernel Mean Embedding of Distributions: A Review and Beyond
• Remarks on a Multivariate Transformation
• High-order stochastic simulation of complex spatially Distributed natural phenomena

This page was built for publication: Training image free high-order stochastic simulation based on aggregated kernel statistics