A Bayesian computer model analysis of robust Bayesian analyses

DOI10.1214/22-ba1340arXiv1703.01234MaRDI QIDQ6203357

Ian Vernon, John Paul Gosling

Publication date: 27 February 2024

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1703.01234

zbMATH Keywords

sensitivity analysisGaussian processemulation

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Exploratory designs for computational experiments
• Galaxy formation: Bayesian history matching for the observable Universe
• Sensitivity analysis for Bayesian hierarchical models
• Gaussian process emulation for second-order Monte Carlo simulations
• MCMC-based local parametric sensitivity estimations
• An overview of robust Bayesian analysis. (With discussion)
• The design and analysis of computer experiments.
• Robust Bayesian displays for standard inferences concerning a normal mean
• Detecting stagewise outliers in hierarchical Bayesian linear models of repeated measures data
• Approximate models and robust decisions
• Nonparametric Bayesian clay for robust decision bricks
• Local sensitivity diagnostics for Bayesian inference
• Parallel partial Gaussian process emulation for computer models with massive output
• Perturbation selection and influence measures in local influence analysis
• Sensitivity analysis in Bayesian generalized linear mixed models for binary data
• Galaxy formation: a Bayesian uncertainty analysis
• Rejoinder: ``Galaxy formation: a Bayesian uncertainty analysis
• Bayesian Calibration of Computer Models
• Sequential design for computer experiments with a flexible Bayesian additive model
• Evolving Bayesian Emulators for Structured Chaotic Time Series, with Application to Large Climate Models
• Handbook of Markov Chain Monte Carlo
• Sensitivity Analysis and Emulation for Functional Data using Bayesian Adaptive Splines
• Combining Field Data and Computer Simulations for Calibration and Prediction
• Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach
• On the Sensitivity of Bayes Factors to the Prior Distributions
• A further look at robustness via Bayes's theorem
• Bayesian Robustness
• Global Bayesian Robustness for Some Classes of Prior Distributions
• Local Robustness in Bayesian Analysis
• Likelihood Robustness
• Ranges of Posterior Expected Losses and ε-Robust Actions
• Robust Bayesian analysis
• A dynamic modelling strategy for Bayesian computer model emulation

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