The Bayesian Regularized Quantile Varying Coefficient Model
{{output}}
The quantile varying coefficient (VC) model can flexibly capture dynamical patterns of regression coefficients. In addition, due to the quantile check loss function, it is robust against outliers and heavy-tailed distributions of the response variable, and can... ...
