Parameter Estimation Procedures for Exponential-Family Random Graph Models on Count-Valued Networks: A Comparative Simulation Study.
Peng HuangCarter T. ButtsPublished in: CoRR (2021)
Keyphrases
- parameter estimation
- simulation study
- exponential family
- maximum likelihood
- statistical models
- random graph models
- markov chain monte carlo
- network structure
- em algorithm
- social networks
- least squares
- log likelihood
- monte carlo
- expectation maximization
- mixture model
- model selection
- parameter estimation algorithm
- markov random field
- approximate inference
- statistical methods
- missing values
- maximum a posteriori
- density estimation
- posterior distribution
- structure learning
- hidden variables
- probabilistic model
- gaussian distribution
- image segmentation
- gaussian mixture model
- data mining