Nonparametric prediction of spatial multivariate data
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Publication:2811289
DOI10.1080/10485252.2016.1164313zbMath1341.62111OpenAlexW2339920984MaRDI QIDQ2811289
Sophie Dabo-Niang, Camille Ternynck, Anne-Françoise Yao
Publication date: 10 June 2016
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2016.1164313
Directional data; spatial statistics (62H11) Inference from stochastic processes and prediction (62M20) Inference from spatial processes (62M30)
Related Items (8)
On nonparametric conditional quantile estimation for non-stationary random fields ⋮ Kernel regression estimation with errors-in-variables for random fields ⋮ Asymptotic properties of nonparametric quantile estimation with spatial dependency ⋮ Nonparametric Prediction for Spatial Dependent Functional Data Under Fixed Sampling Design ⋮ On nonparametric conditional quantile estimation for non-stationary spatial processes ⋮ Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method ⋮ Strong consistency of a kernel-based rule for spatially dependent data ⋮ A new spatial regression estimator in the multivariate context
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