Modeling and analysis of dependable systems through Generalized Continuous Time Bayesian Networks

Keyphrases

• Dependable Systems 100%
• Continuous Time Bayesian Networks 100%
• State Transition 50%
• Posterior Probability 50%
• System Components 50%
• System Unreliability 50%
• Inference Algorithms 50%
• Transition Rates 50%
• Model Choice 50%
• Probabilistic Dependencies 50%
• Conditional Dependence 50%
• Probability Computation 50%
• Importance Index 50%
• System Prediction 50%
• Choice Analysis 50%
• Index System 50%
• System Monitoring 50%
• System-level Diagnosis 50%
• Scalable Inference 50%

Computer Science

• Dependable System 100%
• Bayesian Networks 100%
• Continuous Time 100%
• Case Study 50%
• State Transition 50%
• Posterior Probability 50%
• Transition Rate 50%
• Index Systems 50%

Engineering

• Continuous Time 100%
• Monitoring System 50%
• Dependability 50%
• Posterior Probability 50%
• System Component 50%
• Inference Algorithm 50%
• State Transition 50%
• Importance Index 50%