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.
Cai, Weixin and van der Laan, Mark J., ``One-step targeted maximum likelihood for time-to-event outcomes”, In preparation, 2016.
Cai, Weixin and Hubbard, Alan E., ``Data-adaptive statistics for multiple hypothesis testing in high-dimensional settings”, In preparation, 2016.
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.
Cai, Weixin, Burman, Prabir, and Patrick, Joshua D., ``Semiparametric heteroscedastic model for seasonal time series”, Submitted to Journal of Time Series Analysis, 2014.
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.
Cai, Weixin, Aue, Alexander, and Paul, Debashis, ``Bias correction for high-dimensional markowitz problem under linear temporal dependence”, In Preparation.
Cai, Weixin and Yu, Philip L.H., ``Multivariate buffered autoregression model”, Senior Thesis, The University of Hong Kong, 2015.
Talks/Slides
Causal Inference based on Undersmoothing the Highly Adaptive Lasso, 03/2019
AAAI Spring Symposium in “Beyond Curve Fitting”, Stanford.
Adjusting time-varying treatment effects for rapid online experiments, 10⁄2018
2018 Conference on Digital Experimentation (CODE), Boston.
Symmetric Tensor Regression with Applications in Neuroimaging Data Analysis, 08/2016
Joint Statistics Meetings 2016, Chicago. (Slides)
Symmetric Tensor Regression with Applications in Neuroimaging Data Analysis, 06/2016
SFASA award invited seminar, Stanford. (Slides)
Symmetric Tensor Regression and Neuroimaging Data Analysis, 03/2016
BSTARS lightning talk, Berkeley. (Slides)
Oracally Efficient Spline Smoothing of Functional Coefficient Regression Models with Simultaneous Confidence Band, 08/2014
Joint Statistics Meetings 2014, Seattle. (Slides)