A tutorial showing that OLS, ridge, and LASSO estimators arise as Bayesian posterior modes under different priors, with a derivation of KIC for model selection.
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Linear regression in the Bayesian framework
A tutorial showing that OLS, ridge, and LASSO estimators arise as Bayesian posterior modes under different priors, with a derivation of KIC for model selection.