Concepedia

Using Markov Chain Monte Carlo methods to solve full Bayesian modeling of PWR vessel flaw distributions

Gilles Celeux, Matthieu Persoz, Joseph Ngatchou Wandji, François Perrot

Reliability Engineering & System Safety · 1999 · 14 citations · 6 references

Concepts

ComputingComputational EngineeringBayesian Data AnalysisStochastic ModelingUncertainty QuantificationBayesian InferenceBayesian Model BuildingBayesian ModelingBayesian StatisticsMarkov Chain Monte CarloMonte Carlo MethodsBayesian Markov Chain Monte CarloMarkov Chain Monte Carlo CalibrationMarkov Chain Monte Carlo EstimationMarkov Chain Monte Carlo InferenceMarkov Chain Monte Carlo InversionProbabilistic Fault ModelingProbabilistic Integrity Analysis

References

6

The Calculation of Posterior Distributions by Data Augmentation

Martin A. Tanner, Wing Hung Wong · Journal of the American Statistical Association · 1987 · 3.8K citations

Natural Sciences, Computer Science, Mathematics +17

Understanding the Metropolis-Hastings Algorithm

Siddhartha Chib, Edward Greenberg · The American Statistician · 1995 · 3.7K citations

Engineering, Biostatistics, Bayesian Data Analysis +14

Explaining the Gibbs Sampler

George Casella, Edward I. George · The American Statistician · 1992 · 2.4K citations

Natural Sciences, Mathematics, Probability Theory +11

Understanding the Metropolis-Hastings Algorithm

Siddhartha Chib, Edward Greenberg · The American Statistician · 1995 · 1.2K citations

Engineering, Biostatistics, Bayesian Data Analysis +14

Explaining the Gibbs Sampler

George Casella, Edward I. George · The American Statistician · 1992 · 875 citations

Natural Sciences, Mathematics, Probability Theory +11