An efficient forward–reverse expectation-maximization algorithm for statistical inference in stochastic reaction networks

Keyphrases

• Applied Probability 16%
• Approximate Maximum Likelihood Estimator 16%
• Bayes 16%
• Deterministic Optimization 16%
• Efficient Approximation 16%
• Expectation-maximization Algorithm 100%
• Generation Method 16%
• Inference Methods 16%
• Inference Problem 16%
• Monte Carlo 16%
• Network Bridge 33%
• Numerical Examples 16%
• Optimization Problem 16%
• Ordinary Differential Equations 16%
• Over-dispersed 16%
• Reaction Rate 16%
• Statistical Inference 100%
• Stochastic Reaction Networks 100%
• Stochastic Representation 16%
• Two-stage Procedure 16%

Mathematics

• Applied Probability 14%
• Approximates 14%
• Conditionals 14%
• Expectation-Maximization Algorithm 100%
• Functionals 14%
• Inference Method 14%
• Inferential Statistics 100%
• Initial Point 14%
• Maximum Likelihood Estimate 14%
• Monte Carlo 14%
• Numerical Example 14%
• Observed Data 14%
• Ordinary Differential Equation 14%
• Phase Method 14%
• Stochastics 100%
• time interval τ 14%