Bayesian programming is an approach to programming and modeling that leverages Bayesian inference, a statistical method that updates the probability for a hypothesis as more evidence or information becomes available. In essence, it integrates principles from Bayesian statistics within programming and algorithm design to handle uncertainty and make decisions based on prior knowledge and new data. ### Key Concepts of Bayesian Programming: 1. **Bayesian Inference**: This is the process of updating the probability distribution of a certain hypothesis based on new evidence.
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