Parameter estimation of epidemic spread in two-layer random graphs by classical and machine learning methods.
Ágnes BackhauszEdit BognárVillo CsiszárDamján TárkányiAndrás ZempléniPublished in: CoRR (2024)
Keyphrases
- parameter estimation
- machine learning methods
- random graphs
- maximum likelihood
- machine learning
- model selection
- statistical models
- graph theoretic
- least squares
- markov random field
- machine learning algorithms
- parameter estimation algorithm
- infectious disease
- phase transition
- em algorithm
- machine learning approaches
- random fields
- expectation maximization
- statistical methods
- complex networks
- parameter estimates
- random variables
- undirected graph
- power law
- higher order
- estimation problems
- data mining
- structure learning
- social networks
- bayesian networks