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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
Repro Samples Method for High-dimensional Logistic Model
Xiaotian Hou, Linjun Zhang, Peng Wang +1
This paper presents a novel method to make statistical inferences for both the model support and regression coefficients in a high-dimensional logistic regression model. Our method…
stat.ME2024
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…