Yi Xiong
PhD
Research Interests
Missing data; survival analysis; recurrent events; imperfect stochastic process; causal inference; subsampling
Selected Publications
- Xiong, Y., Braun,W. J., Duchesne, T. and Hu, X. J. (2023). Regression Analysis of Spatially Correlated Event Durations with Missing Origins, Annotated by Longitudinal Measures Statistica Sinica, 33(4): 2431-2461
- Xiong, Y., Braun, W. J. and Hu, X. J. (2021). Estimating Duration Distribution from Event Times with Missing Origin Aided by Auxiliary Longitudinal Measures. Lifetime Data Analysis, 27(3):388-412
- Xiong, Y., Bingham, D., Braun, W. J., and Hu, X. J. (2019). Moran’s I statistic-based nonparametric test with spatio-temporal observations. Journal of Nonparametric Statistics,31(1), 244-267.
- Guo, L., Xiong, Y., and Hu, X. J. (2020). Estimation under Cox Cure Model with Covariates Missing Not at Random, with Application to Disease Screening/Prediction. Canadian Journal of Statistics, 48(4), 608-632.
- Liu, L., Liu, Y., Xiong, Y., and Hu, X. J. (2019). Cox Regression of Clustered Event Times with Covariates Missing Not at Random. Scandinavian Journal of Statistics,46(4), 1315-1346.
- Bina, B., Schulte, O., Crawford, B., Qian, Z., and Xiong, Y. (2013). Simple decision forests for multi-relational classification. Decision Support Systems, 54(3), 1269-1279.
- Schulte, O., Bina, B., Crawford, B., Bingham, D., and Xiong, Y. (2013, April). A hierarchy of independence assumptions for multi-relational Bayes net classifiers. In Computational Intelligence and Data Mining (CIDM), 2013 IEEE Symposium on (pp.150-159). IEEE.