Bayesian Inference Applications

Bayesian inference is a method of updating our beliefs based on new evidence. Imagine having an initial idea about something, then gathering data that might support or challenge that idea. Bayesian inference helps us revise our original belief proportionally to how much the new evidence supports it. It’s widely used in areas like medical diagnosis—for example, updating the likelihood of a disease after a test result—or in spam filtering, where email likelihoods are adjusted based on message content. This approach provides a flexible, data-driven way to improve decisions and predictions over time.