Beyond the valley of the covariance function

DOI10.1214/15-STS515zbMath1332.86015arXiv1507.08383OpenAlexW3101487427WikidataQ57266331 ScholiaQ57266331MaRDI QIDQ254422

Håvard Rue, Finn Lindgren, Daniel P. Simpson

Publication date: 8 March 2016

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1507.08383

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (1)

Gaussian random fields: with and without covariances

Cites Work

• Unnamed Item
• An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
• A comparison between Markov approximations and other methods for large spatial data sets
• A class of non-Gaussian second order random fields
• Penalising model component complexity: a principled, practical approach to constructing priors
• Random Fields and Geometry
• Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics

This page was built for publication: Beyond the valley of the covariance function