Yin Xia

14 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-9784-8742

Department of Statistics and Data Science, Fudan University, Shanghai, China

Publications

• A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models — Journal of the American Statistical Association 2024
• Discussion of “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Dai, Lin, Xing, and Liu — Journal of the American Statistical Association 2023
• A Normality Test for High-dimensional Data Based on the Nearest Neighbor Approach — Journal of the American Statistical Association 2023
• Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous Data — Journal of the American Statistical Association 2022
• LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing — Journal of the American Statistical Association 2022
• Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
• Simultaneous Covariance Inference for Multimodal Integrative Analysis — Journal of the American Statistical Association 2020
• GAP: A General Framework for Information Pooling in Two-Sample Sparse Inference — Journal of the American Statistical Association 2020
• Joint testing and false discovery rate control in high-dimensional multivariate regression — Biometrika 2018
• Multiple Testing of Submatrices of a Precision Matrix With Applications to Identification of Between Pathway Interactions — Journal of the American Statistical Association 2018
• Testing differential networks with applications to the detection of gene-gene interactions — Biometrika 2015
• Two-sample test of high dimensional means under dependence — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2014 (name-matched, not ORCID-linked)
• Two-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings — Journal of the American Statistical Association 2013
• Adaptive confidence intervals for regression functions under shape constraints — The Annals of Statistics 2013