A hybrid probabilistic framework for model validation with application to structural dynamics modeling

Keyphrases

• Model Validation 100%
• Probabilistic Framework 100%
• Bayesian Model Selection 100%
• Model Falsification 100%
• Structural Dynamic Model 100%
• Modeller 66%
• Computational Burden 66%
• Mathematical Model 33%
• Japan 33%
• Physical Systems 33%
• Structural Integrity 33%
• Physical Phenomena 33%
• Binding Model 33%
• Final Model 33%
• Structural Control 33%
• Probability-based 33%
• Measure Data 33%
• Response Prediction 33%
• Falsification 33%
• Computational Modeling 33%
• Computational Simulation 33%
• Appropriate Model 33%
• Bayes Theorem 33%
• Control Monitoring 33%
• Shaking Table 33%
• Nonlinear Structural Dynamics 33%
• Class Probability 33%
• Base-isolated Building 33%
• Life Prognosis 33%
• E-Defense 33%
• False Discovery Rate 33%
• Post-processing Step 33%
• Preprocessing Step 33%
• Example Use 33%

Computer Science

• Probabilistic Framework 100%
• Bayesian Model Selection 100%
• Modelers 66%
• Physical Phenomena 33%
• Computational Modeling 33%
• Physical System 33%
• Modeling and Simulation 33%
• Preprocessing Step 33%
• Measurement Data 33%
• Postprocessing 33%
• Candidate Model 33%
• False Discovery 33%
• Postprocessing Step 33%
• Mathematical Modeling 33%
• Probability 33%