2 papers
cs.IT2026
Complex-Valued Probability Measures and Their Applications in Information Theory
Siang Cheng, Hejun Xu, Tianxiao Pang
This paper introduces a comprehensive framework for complex-valued probability measures and explores their novel applications in information theory and statistical analysis. We def…
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…