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Yin Xia, Ph.D. - Publications

Affiliations: 
2013 Applied Mathematics and Computational Science University of Pennsylvania, Philadelphia, PA, United States 
Area:
Statistics
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16 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

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
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