Year |
Citation |
Score |
2023 |
Liu M, Xia Y, Cho K, Cai T. Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints. Journal of Machine Learning Research : Jmlr. 22. PMID 37426040 |
0.345 |
|
2020 |
Xia Y, Cai TT, Sun W. GAP: A General Framework for Information Pooling in Two-Sample Sparse Inference Journal of the American Statistical Association. 115: 1236-1250. DOI: 10.1080/01621459.2019.1611585 |
0.51 |
|
2019 |
Ye Y, Xia Y, Li L. Paired test of matrix graphs and brain connectivity analysis. Biostatistics (Oxford, England). PMID 31631218 DOI: 10.1093/Biostatistics/Kxz037 |
0.419 |
|
2019 |
Cai TT, Li H, Ma J, Xia Y. Differential Markov random field analysis with an application to detecting differential microbial community networks. Biometrika. 106: 401-416. PMID 31097834 DOI: 10.1093/Biomet/Asz012 |
0.319 |
|
2018 |
Xia Y, Cai TT, Li H. Joint testing and false discovery rate control in high-dimensional multivariate regression. Biometrika. 105: 249-269. PMID 30799872 DOI: 10.1093/Biomet/Asx085 |
0.548 |
|
2018 |
Xia Y, Cai T, Cai TT. Multiple Testing of Submatrices of a Precision Matrix with Applications to Identification of Between Pathway Interactions. Journal of the American Statistical Association. 113: 328-339. PMID 29881130 DOI: 10.1080/01621459.2016.1251930 |
0.571 |
|
2018 |
Xia Y, Cai T, Cai TT. Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions. Statistica Sinica. 28: 63-92. PMID 29386856 DOI: 10.5705/Ss.202016.0032 |
0.57 |
|
2018 |
Xia Y, Li L. Matrix Graph Hypothesis Testing and Application in Brain Connectivity Alternation Detection Statistica Sinica. DOI: 10.5705/Ss.202017.0023 |
0.314 |
|
2017 |
Xia Y. Testing and support recovery of multiple high-dimensional covariance matrices with false discovery rate control Test. 26: 782-801. DOI: 10.1007/S11749-017-0533-7 |
0.479 |
|
2016 |
Xia Y, Li L. Hypothesis testing of matrix graph model with application to brain connectivity analysis. Biometrics. PMID 27959470 DOI: 10.1111/Biom.12633 |
0.411 |
|
2015 |
Xia Y, Cai T, Cai TT. Testing Differential Networks with Applications to Detecting Gene-by-Gene Interactions. Biometrika. 102: 247-266. PMID 28502988 DOI: 10.1093/Biomet/Asu074 |
0.532 |
|
2015 |
Lu S, Xia Y, Cai TW, Feng DD. Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2015: 2251-4. PMID 26736740 DOI: 10.1109/EMBC.2015.7318840 |
0.344 |
|
2015 |
Xia Y, Cai T, Cai TT. Testing differential networks with applications to the detection of gene-gene interactions Biometrika. 102: 247-266. DOI: 10.1093/biomet/asu074 |
0.498 |
|
2014 |
Cai TT, Liu W, Xia Y. Two-sample test of high dimensional means under dependence Journal of the Royal Statistical Society Series B-Statistical Methodology. 76: 349-372. DOI: 10.1111/Rssb.12034 |
0.458 |
|
2014 |
Cai TT, Xia Y. High-dimensional sparse MANOVA Journal of Multivariate Analysis. 131: 174-196. DOI: 10.1016/J.Jmva.2014.07.002 |
0.455 |
|
2013 |
Cai T, Liu W, Xia Y. Two-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings Journal of the American Statistical Association. 108: 265-277. DOI: 10.1080/01621459.2012.758041 |
0.561 |
|
Show low-probability matches. |