Matérn-based nonstationary cross-covariance models for global processes
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Publication:2451624
DOI10.1016/j.jmva.2014.03.009zbMath1352.62146OpenAlexW2137746042MaRDI QIDQ2451624
Publication date: 4 June 2014
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2014.03.009
nonstationary processMatérn covariance functionclimate model outputcross-covariance modelglobal process
Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12)
Related Items (10)
Reducing storage of global wind ensembles with stochastic generators ⋮ Comment ⋮ Asymptotics for spherical functional autoregressions ⋮ Parametric estimation for functional autoregressive processes on the sphere ⋮ Spherical process models for global spatial statistics ⋮ SPHARMA approximations for stationary functional time series on the sphere ⋮ Lasso estimation for spherical autoregressive processes ⋮ Functional estimation of anisotropic covariance and autocovariance operators on the sphere ⋮ Modeling Tangential Vector Fields on a Sphere ⋮ Cross-covariance functions for multivariate geostatistics
Uses Software
Cites Work
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