Bayesian calibration of computer models
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Summary
A Bayesian calibration technique which improves on this traditional approach in two respects and attempts to correct for any inadequacy of the model which is revealed by a discrepancy between the observed data and the model predictions from even the best‐fitting parameter values is presented.
- Type
- article
- Published
- 2001-09-01
- Cited by
- 4,434
- References
- 91
- Access
- Open access
- OpenAlex
- https://openalex.org/W1973333099
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:119562136
Keywords
Calibration, Computer science, Bayesian probability, Context (archaeology), Code (set theory)
References
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- Bayesian inference about outputs of computationally expensive algorithms with uncertainty on the inputs
- Bayesian Synthesis or Likelihood Synthesis - What Does the Borel Paradox Say?
- Review of Saltelli, A. & Chan, K. & E.M.Scott (Eds) (2000), Sensitivity analysis. Wiley (2000)
- Space-time modeling with long-memory dependence: assessing Ireland's wind-power resource. Technical report
- Sensitivity analysis techniques and results for performance assessment at the Waste Isolation Pilot Plant
- Deterministic and Stochastic Error Bounds in Numerical Analysis
- Experimental Design and Observation for Large Systems
- Computer experiments and global optimization
- Evaluating derivatives - principles and techniques of algorithmic differentiation, Second Edition
- Perfect implementation of a Metropolis-Hastings simulation of Markov point processes
- An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields
- Predicting the output from a complex computer code when fast approximations are available
- About the use of rank transformation in sensitivity analysis of model output
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- The Role of Uncertainty, Awareness, and Trust in Visual Analytics
- Model-data integration for predictive assessment of groundwater reactive transport systems
- Multivariate emulation of computer simulators: model selection and diagnostics with application to a humanitarian relief model
- Parameter estimation of hydrologic models using a likelihood function for censored and binary observations.
- Characterization of the Optical Properties of Turbid Media by Supervised Learning of Scattering Patterns
- Classical-Equivalent Bayesian Portfolio Optimization for Electricity Generation Planning
- Fast maximum likelihood estimate of the Kriging correlation range in the frequency domain
- Statistical Adjustments to Engineering Models
- Using derivative information in the statistical analysis of computer models
- Efficient Computational Techniques For High Dimensional Stochastic Modeling
- Exploring host -pathogen relationships through computer simulations of intracellular infection
- Statistical Inference Utilizing Agent Based Models
- Computer Model Inversion and Uncertainty Quantification in the Geosciences
- Fast dimension-reduced climate model calibration
- Coupling stochastic methods and detailed dynamic simulation programs for model calibration : two preliminary case studies
- Simultaneous approach to model building and process design using experimental design: application to chemical vapor deposition
- Efficient Characterization of Structural Dynamic Responses under Uncertainties: from Order-Reduced Simulation to Data-Driven Emulation
- Optimal Robust Matching of Engine Models to Test Data
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