Combining independent Bayesian posteriors into a confidence distribution, with application to estimating climate sensitivity

DOI10.1016/j.jspi.2017.09.013zbMath1383.62064OpenAlexW2760946045MaRDI QIDQ1698996

Nicholas Lewis

Publication date: 16 February 2018

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2017.09.013

zbMATH Keywords

likelihood ratioJeffreys priorconfidence distributionBayesian updatingcombining evidenceobjective Bayesian

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Foundations and philosophical topics in statistics (62A01) Parametric inference (62F99)

Related Items (3)

Confidence distributions and related themes ⋮ A scaling law from discrete to continuous solutions of channel capacity problems in the low-noise limit ⋮ Confidence as likelihood

Cites Work

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• Objective Bayesianism, Bayesian conditionalisation and voluntarism
• The geometry of asymptotic inference. With comments and a rejoinder by the author
• Combining information from independent sources through confidence distributions
• Confidence, Likelihood, Probability
• The Selection of Prior Distributions by Formal Rules
• Confidence and Likelihood^*
• Inference for Deterministic Simulation Models: The Bayesian Melding Approach
• Default Priors for Bayesian and Frequentist Inference
• LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, F. R. S. communicated by Mr. Price, in a letter to John Canton, A. M. F. R. S
• Bayes and likelihood calculations from confidence intervals
• Confidence Distribution, the Frequentist Distribution Estimator of a Parameter: A Review
• Confidence Distributions and a Unifying Framework for Meta-Analysis
• The Asymptotically Unbiased Prior Distribution
• Applied Asymptotics
• An invariant form for the prior probability in estimation problems
• R. A. Fisher in the 21st century. Invited paper presented at the 1996 R. A. Fisher lecture. (With comments).

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