Preprint Open access
Finite-Sample Distribution Theory and Efficient Large-Scale Inference for Online Quantile Regression
This paper studies online quantile regression for large-scale and streaming data using Stochastic SubGradient Descent (SSGD) with constant learning rates. Classical offline inference for quantile regression is computationally and memory intensive. Existing works of online inference for quantile regression provide only …