Climate projections using Bayesian model averaging and space-time dependence

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

zbMATH Keywords

Gaussian processclimate changeclimate modelBayesian model averagingBayesian hierarchical modelingspace-time data

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32)

Related Items (3)

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

• R
• DEoptim
• FRK

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