2 papers
econ.EM2026
Data-driven Smooth Tests for Normality in ANOVA When the Number of Groups is Large
Peiwen Jia, Xiaojun Song, Haoyu Wei
The normality assumption for random errors is fundamental in the analysis of variance (ANOVA) models. However, it is rarely subjected to formal testing in practice, and theoretical…
stat.ML2026
Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm
Huiming Zhang, Haoyu Wei, Guang Cheng
In non-asymptotic learning, variance-type parameters of sub-Gaussian distributions are of paramount importance. However, directly estimating these parameters using the empirical mo…