Bayesian statisticians are practitioners of Bayesian statistics, a statistical framework that interprets probability primarily as a measure of belief or uncertainty about the state of the world. This approach contrasts with frequentist statistics, which interprets probability in terms of long-run frequencies of events. Key concepts in Bayesian statistics include: 1. **Prior Probability**: This represents the initial belief about a parameter before observing any data.
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