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Spatiotemporal quantile regression for detecting distributional changes in environmental processes

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Publication:6637660
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DOI10.1111/j.1467-9876.2011.01025.xWikidataQ30655664 ScholiaQ30655664MaRDI QIDQ6637660

Brian J. Reich

Publication date: 13 November 2024

Published in: Journal of the Royal Statistical Society. Series C. Applied Statistics (Search for Journal in Brave)




zbMATH Keywords

climate changeBayesian hierarchical modelUS temperature datanon-Gaussian datawarming hole


Mathematics Subject Classification ID

Applications of statistics (62Pxx)



Related Items (5)

Analyzing ozone concentration by Bayesian spatio-temporal quantile regression ⋮ Spatiotemporal modeling of hydrological return levels: a quantile regression approach ⋮ A periodic mixed linear state-space model to monthly long-term temperature data ⋮ Transfer Learning with Large-Scale Quantile Regression ⋮ Parametric estimation of non-crossing quantile functions






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