Bayesian Programming
A formalism and methodology used to specify probabilistic models and solve problems when less than the necessary information is available.
Areas of application
- Artificial intelligence
- Machine learning
- Probability theory
- Statistics
- Decision making
- Data science
- Medical diagnosis
- Financial risk analysis
- Engineering design
Example
For instance, a Bayesian programmer might use Bayes’ rule to update the probability of a disease given the results of a medical test, taking into account the prior probability of the disease and the probability of the test given the disease. This can help doctors make more informed decisions about diagnosis and treatment.