and its limit distribution.

Goodness of fit

The goodness of fit for quantile regression for the quantile can be defined as:

where is the minimized expected loss function under the full model, while is the expected loss function under the intercept-only model.

Variants

Bayesian methods for quantile regression

Because quantile regression does not normally assume a parametric likelihood for the conditional distributions of Y|X, the Bayesian methods