Computational methods for a class of network models

Mathematics

• Network Model 100%
• Importance Sampling 66%
• Relative Variance 66%
• Monte Carlo Algorithm 66%
• Monte Carlo 66%
• Bayesian Inference 33%
• Likelihood Function 33%
• Time Parameter 33%
• Exponential Rate 33%
• Number 33%
• Markov Chain Monte Carlo 33%
• Parameter Estimation 33%

Keyphrases

• Relative Variance 66%
• Likelihood Estimates 33%
• Transitional Dynamics 33%
• Partially Observed Networks 33%