Stochastic local interaction model: an alternative to kriging for massive datasets

DOI10.1007/s11004-021-09957-7zbMath1477.86028arXiv2001.02246OpenAlexW3174872786MaRDI QIDQ2066859

Dionissios T. Hristopulos, Andrew Pavlides, Panagiota Gkafa, Vasiliki D. Agou

Publication date: 14 January 2022

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

Full work available at URL: https://arxiv.org/abs/2001.02246

zbMATH Keywords

kernel functionbig datastatistical learningGaussian Markov random fieldsfast interpolationnatural resources estimation

Mathematics Subject Classification ID

Geostatistics (86A32) Statistical aspects of big data and data science (62R07)

Uses Software

• GMRFLib
• FRK

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
• Discussing the ``big \(n\) problem
• A survey of cross-validation procedures for model selection
• Profile likelihood and conditionally parametric models
• Joint high-order simulation of spatially correlated variables using high-order spatial statistics
• New anisotropic covariance models and estimation of anisotropic parameters based on the covariance tensor identity
• A case study competition among methods for analyzing large spatial data
• Geostatistics
• Maximum likelihood estimation of models for residual covariance in spatial regression
• Analytic Properties and Covariance Functions for a New Class of Generalized Gibbs Random Fields
• Fixed Rank Kriging for Very Large Spatial Data Sets
• Spartan Gibbs Random Field Models for Geostatistical Applications
• On Profile Likelihood
• Nonparametric Identification of Anisotropic (Elliptic) Correlations in Spatially Distributed Data Sets
• Gaussian Markov Random Fields

This page was built for publication: Stochastic local interaction model: an alternative to kriging for massive datasets