4 papers · 1 filter
A Unified Framework for Large-Scale Inference of Classification: Error Rate Control and Optimality
Yinrui Sun, Yin Xia
Classification is a fundamental task in supervised learning, while achieving valid misclassification rate control remains challenging due to possibly the limited predictive capabil…
Optimal Integrative Estimation for Distributed Precision Matrices with Heterogeneity Adjustment
Yinrui Sun, Yin Xia
Distributed learning offers a practical solution for the integrative analysis of multi-source datasets, especially under privacy or communication constraints. However, addressing p…
A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models
Yinrui Sun, Li Ma, Yin Xia
Motivated by the simultaneous association analysis with the presence of latent confounders, this paper studies the large-scale hypothesis testing problem for the high-dimensional c…
Bayesian Variable Selection for Single Index Logistic Model
Yinrui Sun, Hangjin Jiang
In the era of big data, variable selection is a key technology for handling high-dimensional problems with a small sample size but a large number of covariables. Different variable…