Calibration of numerical model output using nonparametric spatial density functions

DOI10.1007/S13253-011-0076-4zbMath1306.62374OpenAlexW2089111780WikidataQ57434216 ScholiaQ57434216MaRDI QIDQ2261043

Jingwen Zhou, Montserrat Fuentes, Jerry Davis

Publication date: 6 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: http://www.lib.ncsu.edu/resolver/1840.16/7641

zbMATH Keywords

Bayesian spatial-quantile regressionCMAQ calibrationnon-crossing quantile

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (5)

A spectral method for spatial downscaling ⋮ Extreme value analysis for evaluating ozone control strategies ⋮ Estimating the health impact of climate change with calibrated climate model output ⋮ SMOOTH DENSITY SPATIAL QUANTILE REGRESSION ⋮ Statistical downscaling with spatial misalignment: application to wildland fire \(\mathrm{PM}_{2.5}\) concentration forecasting

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