+ Nonparametric estimation in Statistics;
+ Directional Statistics;
+ Statistical Learning;
+ Stochastic algorithms .
6. High-dimensional many-to-many-to-many mediation analysis
(with Trung Khang Tran, Cong Khanh Truong, Duy-Cat Can, Binh T. Nguyen and Oliver Y. Chén), submitted, 2026. [arXiv:2604.02886]
5. Adaptive density estimation using projection kernels and penalized comparison to overfitting
(with Van Ha Hoang and Thi Mong Ngoc Nguyen), submitted, 2025. [arXiv:2509.07800]
4. Adaptive estimation for nonparametric circular regression with errors in variables
(with Thanh Mai Pham Ngoc), submitted, 2025. [arXiv:2508.18581]
3. Cumulative distribution function of a mixture model with normal error
(with Duc Trong Dang, Hoang Thanh Nguyen and Phuc Hung Thai), Acta Mathematica Vietnamica, 2026.
https://doi.org/10.1007/s40306-026-00630-x [Acta Math Vietnam]
2. Adaptive warped kernel estimation for nonparametric regression with circular responses
(with Thanh Mai Pham Ngoc and Vincent Rivoirard), Electronic Journal of Statistics, 17 (2) 4011 - 4048, 2023.
https://doi.org/10.1214/23-EJS2186 [arXiv:2204.02726v2] [EJS]
1. Statistical deconvolution of the free Fokker-Planck equation at fixed time
(with Mylène Maïda, Thanh Mai Pham Ngoc, Vincent Rivoirard and Viet Chi Tran), Bernoulli, 28 (2) 771 - 802, May 2022.
https://doi.org/10.3150/21-BEJ1366. [arXiv:2006.11899 ] [Bernoulli]