Bayesian Regression, Regression, Regression Analysis, Data Science, Machine Learning.
about the parameters before observing the data. Posterior Distribution: The posterior distribution is the cornerstone of Bayesian inference. It combines the likelihood and the prior distribution to provide a comprehensive representation of the model parameters after observing the data. It