Importance sampling for Bayesian sensitivity analysis

DOI10.1016/j.ijar.2008.03.015zbMath1185.62062OpenAlexW2139283181MaRDI QIDQ962854

Ben O'Neill

Publication date: 7 April 2010

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2008.03.015

zbMATH Keywords

robustnesssensitivity analysisimportance samplingBayesian statisticsimprecise probabilityimprecise prevision

Mathematics Subject Classification ID

Related Items (3)

Imprecise Monte Carlo simulation and iterative importance sampling for the estimation of lower previsions ⋮ On the robustness of Bayesian networks to learning from non-conjugate sampling ⋮ Bayesian knowledge base tuning

Cites Work

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• An overview of robust Bayesian analysis. (With discussion)
• Methods for approximating integrals in statistics with special emphasis on Bayesian integration problems
• Robust Bayesian analysis: sensitivity to the prior
• An introduction to the imprecise Dirichlet model for multinomial data
• A modular system of algorithms for unconstrained minimization
• Ratios of Normal Variables and Ratios of Sums of Uniform Variables
• On the ratio of two correlated normal random variables
• Bayesian Robustness
• Bayesian Robustness and Bayesian Nonparametrics
• Robust Bayesian analysis

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