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• Multicollinearity is a well-known issue in regression models, particularly when predictor variables are highly correlated, leading to unstable estimates and inflated standard errors. In Bayesian linear regression, multicollinearity is often addresse…

  in Multicollinearity in Bayesian linear regression? Comment by jameineure March 18