Data generation for axially symmetric processes on the sphere

DOI10.1080/03610918.2019.1588309zbMath1497.62254OpenAlexW2935236946WikidataQ128113074 ScholiaQ128113074MaRDI QIDQ5082648

Wenshuang Wang, Haimeng Zhang, Christopher D. Vanlengenberg

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1588309

zbMATH Keywords

method of momentscomplex random variablecross covariancecross variogramcircular-symmetry

Mathematics Subject Classification ID

Random fields (60G60) Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32)

Uses Software

• FRK

Cites Work

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• Some theory for anisotropic processes on the sphere
• Spatial variation of total column ozone on a global scale
• Nonstationary covariance models for global data
• Correlation theory of stationary and related random functions. Volume I: Basic results
• Aliasing effects and sampling theorems of spherical random fields when sampled on a finite grid
• Modeling nonstationary covariance function with convolution on sphere
• Fixed Rank Kriging for Very Large Spatial Data Sets
• Stochastic Processes on a Sphere

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