Bayesian inference of high-dimensional, cluster-structured ordinary differential equation models with applications to brain connectivity studies

Mathematics

• Brain 74%
• Bayesian inference 72%
• Connectivity 62%
• High-dimensional 55%
• Ordinary differential equation 52%
• Model 22%
• Posterior distribution 16%
• Feature Model 12%
• Interaction 12%
• Parallel Computing 11%
• Voids 10%
• Differentiate 10%
• Bayesian Model 9%
• Beliefs 9%
• Speedup 9%
• Markov Chain Monte Carlo 8%
• Conditional Distribution 8%
• Quantify 8%
• Prior distribution 8%
• Bayesian Approach 8%
• Joint Distribution 8%
• Well-defined 8%
• Uncertainty 7%
• Evaluate 6%
• Optimization 6%
• Module 5%
• Simulation 5%
• Framework 4%

Business & Economics

• Bayesian Inference 100%
• Differential Equations 90%
• Connectivity 78%
• Parallel Computing 13%
• Bayesian Model 12%
• Posterior Distribution 11%
• Conditional Distribution 10%
• Markov Chain Monte Carlo 10%
• Bayesian Approach 9%
• Interaction 9%
• Module 8%
• Estimation Method 8%
• Simulation 5%
• Uncertainty 5%

Engineering & Materials Science

• Ordinary differential equations 73%
• Brain 56%
• Parallel processing systems 7%
• Markov chains 7%
• Uncertainty 4%