Bayesian Computation

Bayesian computation is a method used to update our beliefs or predictions about something based on new data. Imagine starting with an initial idea (prior) about a possibility, then collecting evidence (data), and updating that idea to be more accurate (posterior). Bayesian methods use probability to formalize this process, allowing us to refine our understanding as more information becomes available. This approach is widely used in statistics, machine learning, and data analysis for making decisions and predictions that adapt to new evidence effectively.