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stat.ME2024
A Two-Step Projection-Based Goodness-of-Fit Test for Ultra-High Dimensional Sparse Regressions
Falong Tan, Jie Liu, Heng Peng +1
This paper proposes a novel two-step strategy for testing the goodness-of-fit of parametric regression models in ultra-high dimensional sparse settings, where the predictor dimensi…
stat.AP2024
Variable Selection for Multi-Source Count Data with Controlled False Discovery Rate
Shan Tang, Shanjun Mao, Shourong Ma +1
The rapid generation of complex, highly skewed, and zero-inflated multi-source count data poses significant challenges for variable selection, particularly in biomedical domains li…