Estimation of Global Temperature Fields from Scattered Observations by a Spherical-Wavelet-Based Spatially Adaptive Method

DOI10.1046/j.1369-7412.2003.05220.xzbMath1061.62184OpenAlexW1977158198MaRDI QIDQ4665841

Hee-Seok Oh, Ta-Hsin Li

Publication date: 11 April 2005

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1046/j.1369-7412.2003.05220.x

zbMATH Keywords

smoothingcross-validationmultiresolutionthresholdingfunction estimation

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Nonparametric estimation (62G05) Meteorology and atmospheric physics (86A10) Machine vision and scene understanding (68T45)

Related Items (7)

Excursion probability of Gaussian random fields on sphere ⋮ Notes on spherical bifractional Brownian motion ⋮ On fractional spherically restricted hyperbolic diffusion random field ⋮ Spherical process models for global spatial statistics ⋮ Spectral analysis of fractional hyperbolic diffusion equations with random data ⋮ Nonparametric regression on the hyper-sphere with uniform design ⋮ Extremes of spherical fractional Brownian motion

Cites Work

• Regularization of Wavelet Approximations
• Multiscale Representation and Analysis of Spherical Data by Spherical Wavelets
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