Publications

(* denotes the corresponding author.)

Journal Articles

1. Tan R., Huang W.*, Zhang Z.* and Yin G. (2025). Causal effect of functional treatment. Journal of Machine Learning Research, 26, 1-39. [DOI] [arXiv] [Code]
2. Tan, R.*, Zang, Y. and Yin, G. (2024). Nonlinear dimension reduction for functional data with application to clustering. Statistica Sinica, 34, 1391-1412. [DOI] [Code]
3. Delaigle, A. and Tan, R.* (2024). Group testing regression analysis with missing data and imperfect tests. Statistica Sinica, 34, 201-228. [DOI] [Code]
4. Tan, R.* (2023). Nonparametric regression with nonignorable missing covariates and outcomes using bounded inverse weighting. Journal of Nonparametric Statistics, 35, 927-946. [DOI] [Code]
5. Delaigle, A. and Tan, R.* (2023). Group testing regression analysis with covariates and specimens subject to missingness. Statistics in Medicine, 42, 731-744. [DOI] [Code]

Submitted Papers

1. Tan, R.* and Yin, G. (2024+). Model averaging for manifold learning.
2. Gu, J., Tan, R.* and Yin, G. (2024+). Delaunay weighted two-sample test for high-dimensional data by incorporating geometric information. [arXiv]
3. Tan, R.* and Zang, Y. (2024+). Supervised manifold learning for functional data. [arXiv]

Other Works

1. Tan, R.* (2021). Nonparametric techniques with missing data. PhD Thesis. [URL]