li_reg: Asymmetric Laplace Working Likelihood For
Linear Quantile Regression
Description
Asymmetric Laplace Working Likelihood For
Linear Quantile Regression
Usage
li_reg(pars, y, x, tau, sig)
Arguments
pars
regression coefficient vector
x
the design matrix with one in the first column corresponding to the intercept
Value
the working log (asymmetric Laplace) likelihood function (the part involving the regression coefficients)
Details
The asymmetric Laplace working likelihood
is proportional to exponential
of the negative quantile objective function for
linear quantile regression
References
Yang, Y., Wang, H. and He, X. (2015). Posterior inference in Bayesian quantile regression with asymmetric Laplace
likelihood. International Statistical Review, 2015. doi: 10.1111/insr.12114.