Lyumin Wu

Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks

This paper investigates nonparametric quantile regression using recurrent neural networks (RNNs) and sparse recurrent neural networks (SRNNs) to approximate the conditional quantile function, which is assumed to follow a compositional hierarchical interaction model. We show that RNN- and SRNN-based…