Model reduction of linear dynamical systems via balancing for Bayesian inference

Mathematics

• Linear Dynamical Systems 100%
• Model Reduction 97%
• Balancing 93%
• Bayesian inference 87%
• Balanced Truncation 60%
• Dynamical system 45%
• Reachability 43%
• Observability 43%
• Posterior Mean 26%
• Reduced Model 26%
• Fisher Information 24%
• Dimension Reduction 23%
• Exact Distribution 22%
• Trade-offs 20%
• Approximation 20%
• Posterior distribution 20%
• Bayesian Approach 20%
• Benchmark 20%
• Error Bounds 18%
• Initial conditions 16%
• Output 15%
• Computing 12%
• Operator 9%

Engineering & Materials Science

• Dynamical systems 67%
• Observability 45%
• Mathematical operators 18%
• Demonstrations 16%