Maximum Likelihood Estimation
Context
- BayesiaLab estimates the parameters of a Bayesian network using Maximum Likelihood Estimation.
- The probability of a state of a node corresponds to the frequency the state is observed in the dataset.
Example
Let's consider this simple network:
Maximum Likelihood Estimation
The marginal probability distribution of is estimated as:
where represents the number of occurrences of the specified configuration in the dataset.
The conditional probability distribution of is estimated as