Efficient marginalization-based MCMC methods for hierarchical bayesian inverse problems

Mathematics

• Bayesian 100%
• Gaussian Distribution 100%
• Marginalization 100%
• Measurement Error 66%
• Posterior Distribution 33%
• Computational Cost 33%
• Inverse Heat Equation 33%
• Probability Model 33%
• Linear Models 33%
• Prior Probability Distribution 33%
• Hierarchical Model 33%
• Markov Chain 33%
• Gibbs Free Energy 33%

Engineering

• Gaussians 100%
• Measurement Error 66%
• Computational Cost 33%
• Posterior Distribution 33%
• Prior Probability Distribution 33%
• State Error 33%
• Gibbs Free Energy 33%