When doesn't cokriging outperform Kriging?

DOI10.1214/15-STS518zbMath1332.86018arXiv1507.08403MaRDI QIDQ254436

Hao Zhang, Wenxiang Cai

Publication date: 8 March 2016

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

Full work available at URL: https://arxiv.org/abs/1507.08403

zbMATH Keywords

infill asymptoticsKrigingcokrigingequivalence of probability measures

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 (6)

Large scale variable fidelity surrogate modeling ⋮ Asymptotically equivalent prediction in multivariate geostatistics ⋮ Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections ⋮ Joint asymptotics for estimating the fractal indices of bivariate Gaussian processes ⋮ Nonparametric spectral methods for multivariate spatial and spatial-temporal data ⋮ Conditions on which cokriging does not do better than kriging

Cites Work

• Cross-covariance functions for multivariate geostatistics
• Fixed-domain asymptotic properties of tapered maximum likelihood estimators
• Interpolation of spatial data. Some theory for kriging
• Merging of Opinions with Increasing Information
• Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics
• Unnamed Item

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