Prof. Tiejun Tong

Department of Mathematics

Hong Kong Baptist University

Professor

Email: [email protected]

Qualifications

2005 PhD., Statistics, Department of Statistics and Applied Probability, University of California at Santa Barbara, USA

2001 M.S, Statistics, Department of Statistics and Finance, University of Science and Technology of China, China

1998 B.S, Electronic Engineering, School of the Gifted Young, University of Science and Technology of China, China

Research Interests

Nonparametric regression

Meta-analysis and evidence-based medicine

High-dimensional data analysis

Publications (Selected）

1. Lin, H., Zhang, R., & Tong, T. (2025). When Tukey meets Chauvenet: A new boxplot criterion for outlier detection. Journal of Computational and Graphical Statistics. In press.
2. Gang, B., Lin, H., & Tong, T. (2025). Unifying boxplots: A multiple testing perspective. Statistical Science. In press.
3. Yang, K., Lin, E., Xu, W., Zhu, L., & Tong, T. (2025). An alternative measure for quantifying the heterogeneity in meta-analysis. Statistics in Medicine, 44, e70089.
4. Shi, J., Luo, D., Wan, X., Liu, Y., Liu, J., Bian, Z., & Tong, T. (2023). Detecting the skewness of data from the five-number summary and its application in meta-analysis. Statistical Methods in Medical Research, 32, 1338–1360.
5. Shi, J., Luo, D., Weng, H., Zeng, X., Lin, L., Chu, H., & Tong, T. (2020). Optimally estimating the sample standard deviation from the five-number summary. Research Synthesis Methods, 11, 641–654.
6. Luo, D., Wan, X., Liu, J., & Tong, T. (2018). Optimally estimating the sample mean from the sample size, median, mid-range and/or mid-quartile range. Statistical Methods in Medical Research, 27, 1785–1805.
7. Dai, W., Tong, T., & Genton, M. G. (2016). Optimal estimation of derivatives in nonparametric regression. Journal of Machine Learning Research, 17(164), 1–25.
8. Wan, X., Wang, W., Liu, J., & Tong, T. (2014). Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Medical Research Methodology, 14, 135.
9. Tong, T., & Wang, Y. (2007). Optimal shrinkage estimation of variances with applications to microarray data analysis. Journal of the American Statistical Association, 102, 113–122.
10. Tong, T., & Wang, Y. (2005). Estimating residual variance in non-parametric regression using least squares. Biometrika, 92, 821–830.

Profile Details

https://scholar.google.com/citations?user=OCYV3zIAAAAJ&hl=en

https://www.researchgate.net/profile/Tiejun-Tong