Variography for model selection in local polynomial regression with spatial data

DOI10.1007/S10852-005-9001-6zbMath1080.62032OpenAlexW2090858296WikidataQ57838261 ScholiaQ57838261MaRDI QIDQ812061

N. E. Zubov

Publication date: 23 January 2006

Published in: JMMA. Journal of Mathematical Modelling and Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10852-005-9001-6

zbMATH Keywords

spatial statisticskernelsbandwidth matrix

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Nonparametric regression and quantile regression (62G08) Geostatistics (86A32) Spatial models in economics (91B72)

Cites Work

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• Comparison of kriging and neural networks with application to the exploitation of a slate mine
• Interpolation of spatial data. Some theory for kriging
• Nonparametric regression with correlated errors.
• Continuity properties for random fields
• Support vector machines and gradient boosting for graphical estimation of a slate deposit
• Some automated methods of smoothing time-dependent data
• Smoothing parameter selection methods for nonparametric regression with spatially correlated errors

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