3 papers
stat.ME2026
Repro Samples Method for a Performance Guaranteed Inference in General and Irregular Inference Problems
Minge Xie, Peng Wang
Rapid advancements in data science require us to have fundamentally new frameworks to tackle prevalent but highly non-trivial "irregular" inference problems, to which the large sam…
stat.ME2025
Repro Samples Method for Model-Free Inference in High-Dimensional Binary Classification
Xiaotian Hou, Peng Wang, Minge Xie +1
This paper presents a novel method for statistical inference in high-dimensional binary models with unspecified structure, where we leverage a (potentially misspecified) sparsity-c…
stat.ME2024
A Unified Combination Framework for Dependent Tests with Applications to Microbiome Association Studies
Xiufan Yu, Linjun Zhang, Arun Srinivasan +2
We introduce a novel meta-analysis framework to combine dependent tests under a general setting, and utilize it to synthesize various microbiome association tests that are calculat…