Statistics, Bayesian Statistics, Optimization And Ml, Machine Learning, Programming.
that from the OLS model. This gives us Model estimates for σ² Conclusion When applying Bayesian methods to ridge regression, we need to address: how do we handle the hyperparameter that controls regularization strength? One option is to use a point estimate, where a value of the hyperparameter is