2 papers
stat.ME2026
Bayesian Smoothed Quantile Regression
Bingqi Liu, Kangqiang Li, Tianxiao Pang
The standard asymmetric Laplace framework for Bayesian quantile regression (BQR) suffers from a fundamental decision-theoretic misalignment, yielding biased finite-sample estimates…
math.ST2025
Robust low-rank tensor regression via clipping and Huber loss
Kangqiang Li, Bingqi Liu, Yang Yang +1
In this paper, we construct a parameter estimation framework for robust low-rank tensor regression based on a truncation method and Huber loss, specifically focusing on models with…