Objective Bayesian analysis of geometrically anisotropic spatial data

DOI10.1007/s13253-013-0137-yzbMath1303.62080OpenAlexW2076949257MaRDI QIDQ486071

Hannes Kazianka

Publication date: 14 January 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-013-0137-y

zbMATH Keywords

Gaussian processposterior proprietyreference priorJeffreys priorgeometric anisotropynugget effect

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)

Related Items (3)

Robust Gaussian stochastic process emulation ⋮ Anisotropy models for spatial data ⋮ Constructing Priors that Penalize the Complexity of Gaussian Random Fields

Uses Software

• BayesDA
• spatialCopula

Cites Work

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