Guan Yu
PhD
Research Topics
High Dimensional Statistical Inference Statistical Machine Learning and Data Mining Neuroimaging Statistics
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Selected Publications
- Yu, G., Li, Q., Shen, D. and Liu, Y. (2019). Optimal Sparse Linear Prediction for Block-missing Multi-modality Data without Imputation. Journal of the American Statistical Association, in press.
- Yu, G., Yin, L., Lu, S. and Liu, Y. (2019). Confidence Intervals for Sparse Penalized Regression with Random Designs. Journal of the American Statistical Association, in press.
- Liu, J., Yu, G. and Liu, Y. (2019). Graph--based Sparse Linear Discriminant Analysis for High Dimensional Classification. Journal of Multivariate Analysis, in press.
- Zhao, J., Yu, G. and Liu, Y. (2018). Assessing Robustness of Classification using Angular Breakdown Point. Annals of Statistics, 46(6B), 3362-3389.
- Yu, G., Liu, Y. and Shen, D. (2016). Graph-guided Joint Prediction of Class Label and Clinical Scores for the Alzheimer's Disease. Brain Structure and Function, 221, 3787-3801.
- Yu, G. and Liu, Y. (2016). Sparse Regression Incorporating Graphical Structure among Predictors. Journal of the American Statistical Association, 111, 707-720.
- Huang, R., Yu, G., Wang, Z., Zhang, J. and Shi, L. (2013). Dirichlet Process Mixture Model for Document Clustering with Feature Partitioin. IEEE Transactions on Knowledge and Data Engineering, 25, 1748-1759.
- Yu, G., Zou, C. and Wang, Z. (2012). Outlier Detection in the Functional Observations with Application to Profile Monitoring. Technometrics, 54, 308-318.