Publications

Statistics and Machine Learning

Cai, Z., Li, R., Zhu, L. (2020) “Online Sufficient Dimension Reduction Through Sliced Inverse Regression”, Journal of Machine Learning Research, 21(10):1−25.
Cai, Z., Zhang, Y., Li, R. “A Distribution-Free Conditional Independence Test with Application to Causal Discovery”, accepted (conditional on minor revision), Journal of Machine Learning Research.
Cai, Z., Zhang, Y., Guo, X., Zhu, L., Li, R. “A Consistent Independence Test via Projected Mutual Information”, invited major revision, Journal of Econometrics.
Zhu, X., Cai, Z, Ma, Y. “Network Functional Autoregression Model”, invited major revision, Journal of the American Statistical Association.
Awan, J., Cai, Z. “One Step to Efficient Synthetic Data”, submitted.
Cai, Z., Xi, D., Zhu, X., Li, R. “Causal Discoveries for High Dimensional Mixed Data”, submitted.
Tong, Z., Cai, Z, Li, R. “Model-Free Conditional Feature Screening with FDR Control”, submitted.

Buu, Y., Cai, Z., Li, R., Wong, S., Lin, H., Su, W., Jorenby, D., Piper, M. (2020). “The association between short-term emotion dynamics and cigarette dependence symptomatology: a comprehensive examination of dynamic measures”, Drug and Alcohol Dependence (2020): 108341.
Buu, Y., Cai, Z., Li, R., Wong, S., Lin, H., Su, W., Jorenby, D., Piper, M. “Validating E-cigarette Dependence Scales Based on Dynamic Patterns of Vaping Behaviors”, major revision, Nicotine & Tobacco Research.