Math, Stats, Julia, Predictions, Linear Regression.
betaMax = 0, 5, 0, 5 # Initialize and allocate values to values to Beta / Alpha parameters alpha1, beta1, alpha2, beta2, bestL1Cost, bestL2Cost = 0.0,0.0,0.0,0.0,Inf,Inf for _ in 1:N # Loop rAlpha,rBeta=rand(Uniform(alphaMin,alphaMax)),rand(Uniform(betaMin,betaMax)) L1Cost = norm(rAlpha .+