The SPDE approach to Matérn fields: graph representations (Q2092895)

scientific article; zbMATH DE number 7612070

Language	Label	Description	Also known as
English	The SPDE approach to Matérn fields: graph representations	scientific article; zbMATH DE number 7612070

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instance of

scholarly article

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title

The SPDE approach to Matérn fields: graph representations (English)

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4 November 2022

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full work available at URL

https://arxiv.org/abs/2004.08000

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https://projecteuclid.org/journals/statistical-science/volume-37/issue-4/The-SPDE-Approach-to-Mat%c3%a9rn-Fields-Graph-Representations/10.1214/21-STS838.full

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zbMATH Keywords

Gauss Matérn fields

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Gaussian Markov random fields

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graph Laplacians

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latent Gaussian models

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stochastic partial differential equations

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describes a project that uses

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The Geometry of Random Fields

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Estimating deformations of isotropic Gaussian random fields on the plane

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Gaussian Predictive Process Models for Large Spatial Data Sets

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Gaussian Markov random field priors for inverse problems

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Learning Theory

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Semi-supervised learning on Riemannian manifolds

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Learning Theory

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Uncertainty Quantification in Graph-Based Classification of High Dimensional Data

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Q4092750

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Estimation and prediction using generalized Wendland covariance functions under fixed domain asymptotics

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Data-driven forward discretizations for Bayesian inversion

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Spatial Matérn Fields Driven by Non-Gaussian Noise

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The Rational SPDE Approach for Gaussian Random Fields With General Smoothness

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Weak convergence of Galerkin approximations for fractional elliptic stochastic PDEs with spatial white noise

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Numerical solution of fractional elliptic stochastic PDEs with spatial white noise

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Introduction to Bayesian Scientific Computing

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Statistical and computational inverse problems.

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Identifiers

DOI

10.1214/21-STS838

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Mathematics Subject Classification ID

62-XX

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zbMATH DE Number

7612070

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Sitelinks

Mathematics(1 entry)

mardi Publication:2092895