Modeling sea-level change using errors-in-variables integrated Gaussian processes

DOI10.1214/15-AOAS824zbMath1397.62483arXiv1312.6761OpenAlexW1882030935WikidataQ57558203 ScholiaQ57558203MaRDI QIDQ746643

Andrew C. Kemp, Andrew C. Parnell, Benjamin P. Horton, Niamh Cahill

Publication date: 28 October 2015

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1312.6761

zbMATH Keywords

Bayesian statisticserrors-in-variablesintegrated Gaussian processesproxy reconstructiontide gauge

Mathematics Subject Classification ID

Gaussian processes (60G15) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)

Related Items (3)

Modeling sea-level change using errors-in-variables integrated Gaussian processes ⋮ reslr ⋮ Measurement error models: from nonparametric methods to deep neural networks

Uses Software

• CODA
• rjags
• JAGS

Cites Work

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• Kriging and splines with derivative information
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• Parameter Estimation for Differential Equation Models Using a Framework of Measurement Error in Regression Models

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