A multi-resolution model for non-Gaussian random fields on a sphere with application to ionospheric electrostatic potentials
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Publication:1647630
DOI10.1214/17-AOAS1104zbMath1393.62039arXiv1710.00153OpenAlexW2964112586WikidataQ91112854 ScholiaQ91112854MaRDI QIDQ1647630
Minjie Fan, Tomoko Matsuo, Debashis Paul, Thomas C. M. Lee
Publication date: 26 June 2018
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1710.00153
multi-resolution analysisMCMCnon-Gaussian random fieldionospheric electrostatic potentialisotropic process on a sphereLFM-MIX model
Inference from spatial processes (62M30) Random fields; image analysis (62M40) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32)
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A multi-resolution model for non-Gaussian random fields on a sphere with application to ionospheric electrostatic potentials, Asymptotics for spherical functional autoregressions, Flexible-bandwidth needlets, A turning bands method for simulating isotropic Gaussian random fields on the sphere, Lasso estimation for spherical autoregressive processes, Distributed Filtered Hyperinterpolation for Noisy Data on the Sphere
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Cites Work
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