Research

Publications

  1. Cai, Weixin and van der Laan, Mark J., ``One-step targeted maximum likelihood estimator for survival curve”, To appear in Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies. Springer, 2016.
  2. Cai, Weixin and van der Laan, Mark J., ``One-step targeted maximum likelihood for time-to-event outcomes”, In preparation, 2016.
  3. Cai, Weixin and Hubbard, Alan E., ``Data-adaptive statistics for multiple hypothesis testing in high-dimensional settings”, In preparation, 2016.
  4. Li, Lexin, Cai, Weixin, Zhou, Hua, Arnemann, Katelyn, and Jagust, William, ``Sparse symmetric tensor regression for association modeling of brain functional connectivity”, Submitted to NeuroImage, 2016.
  5. Cai, Weixin, Burman, Prabir, and Patrick, Joshua D., ``Semiparametric heteroscedastic model for seasonal time series”, Submitted to Journal of Time Series Analysis, 2014.
  6. Cai, Weixin, Patrick, Joshua D., and Burman, Prabir, ``Oracally efficient spline smoothing of functional coefficient regression models with simultaneous confidence band”, JSM Proceedings, Nonparametric Statistics Section, 2014.
  7. Cai, Weixin, Aue, Alexander, and Paul, Debashis, ``Bias correction for high-dimensional markowitz problem under linear temporal dependence”, In Preparation.
  8. Cai, Weixin and Yu, Philip L.H., ``Multivariate buffered autoregression model”, Senior Thesis, The University of Hong Kong, 2015.

Talks/Slides

  1. Causal Inference based on Undersmoothing the Highly Adaptive Lasso, 03/2019
    AAAI Spring Symposium in “Beyond Curve Fitting”, Stanford.
  2. Adjusting time-varying treatment effects for rapid online experiments, 102018
    2018 Conference on Digital Experimentation (CODE), Boston.
  3. Symmetric Tensor Regression with Applications in Neuroimaging Data Analysis, 08/2016
    Joint Statistics Meetings 2016, Chicago. (Slides)
  4. Symmetric Tensor Regression with Applications in Neuroimaging Data Analysis, 06/2016
    SFASA award invited seminar, Stanford. (Slides)
  5. Symmetric Tensor Regression and Neuroimaging Data Analysis, 03/2016
    BSTARS lightning talk, Berkeley. (Slides)
  6. Oracally Efficient Spline Smoothing of Functional Coefficient Regression Models with Simultaneous Confidence Band, 08/2014
    Joint Statistics Meetings 2014, Seattle. (Slides)