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