Monotone Composite Quantile Regression via Second-Order Gradient Boosting Framework

This work proposes a new algorithm for estimating multiple conditional quantiles that exploits second-order information while enforcing the non-crossing property and produces non-crossing quantile estimates without solving an explicitly constrained optimization problem.