Climate projections using Bayesian model averaging and space-time dependence
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Publication:2261051
DOI10.1007/S13253-011-0069-3zbMath1306.62244OpenAlexW1989038236WikidataQ57434310 ScholiaQ57434310MaRDI QIDQ2261051
Adam Terando, K. Sham Bhat, Klaus Keller, Murali Haran
Publication date: 6 March 2015
Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13253-011-0069-3
Gaussian processclimate changeclimate modelBayesian model averagingBayesian hierarchical modelingspace-time data
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Constructing valid spatial processes on the sphere using kernel convolutions ⋮ Multimodel ensemble analysis with neural network Gaussian processes ⋮ On Constraining Projections of Future Climate Using Observations and Simulations From Multiple Climate Models
Uses Software
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