The article discusses several approach of parametric models with quantile functions to solve the problem of lack of validity in asymmetric Laplace distribution working model. Topics discussed include finding valid posterior inference through Bayesian quantile regression, lack of validity in its data generating mechanism of the posterior inference and quantile regression with missing covariates.