bayesian-regression-priors-on-parameters

Summary

This means the model doesn't just produce one best-guess number for each coefficient; instead, it treats each coefficient as something with a range of plausible values that gets updated as data arrives. In practice, this lets the system fold in whatever it already knows or suspects about a relationship before seeing new evidence, and it naturally expresses how confident it is in its estimates rather than hiding uncertainty behind a single point value.