Efficient Estimation of Non-stationary Spatial Covariance Functions with Application to High-resolution Climate Model Emulation

DOI10.5705/SS.202017.0536zbMath1421.62159OpenAlexW2897154750WikidataQ129120005 ScholiaQ129120005MaRDI QIDQ5226631

Ying Sun, Yu-Xiao Li

Publication date: 1 August 2019

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202017.0536

zbMATH Keywords

polynomial approximationconditional simulationlarge datasetslocal likelihood estimationclimate model runsnonstationary Matérn covariance function

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to environmental and related topics (62P12) Other physical applications of random processes (60K40) Orthogonal functions and polynomials, general theory of nontrigonometric harmonic analysis (42C05)

Related Items (4)

Bayesian inference for high-dimensional nonstationary Gaussian processes ⋮ Scalable computations for nonstationary Gaussian processes ⋮ DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction ⋮ Lagrangian Spatio-Temporal Nonstationary Covariance Functions

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