4 papers · 1 filter
Model-Free Machine Learning and Inference in High-Dimensional Binary Classification via Repro Samples
Xiaotian Hou, Peng Wang, Minge Xie +1
This paper develops a model-free yet interpretable machine learning and inference approach for binary classification of high-dimensional data from an unstructured model by leveragi…
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…
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…
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…