This article introduces a quantile penalized regression technique for variable selection and estimation of conditional quantiles of counts in sparse high-dimensional models. The direct estimation and ...

Specifically, for avoiding quantile crossover, a multi-quantile regression monotone fuzzy neural network (MQRMFNN) is firstly proposed to simultaneously output monotonically increasing probability ...