Projects per year
Personal profile
Chinese Name
童铁军
Biography
Tiejun Tong is a Professor of Statistics in the Department of Mathematics, Hong Kong Baptist University. He received his PhD degree in 2005 from University of California at Santa Barbara. Before joining Hong Kong Baptist University in 2010, Professor Tong was a Postdoctoral Associate from 2005-2007 at Yale University, and an Assistant Professor from 2007-2010 at University of Colorado at Boulder. Professor Tong is also an Elected Member of the International Statistical Institute. His research areas include statistics, biostatistics, meta-analysis and evidence-based medicine. He has published more than 80 journal articles including 3 highly cited papers and 3 hot papers, with a total of 6300 citations in Google Scholar.
Research Interests
High-dimensional data analysis, Meta-analysis and medical statistics, Nonparametric regression models
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Mathematics, PhD, University of California at Santa Barbara
1 Sep 2001 → 31 Aug 2005
Award Date: 31 Aug 2005
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Dive into the research topics where Tiejun TONG is active. Topic labels come from the works of this scholar.
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Some new developments in hypothesis testing for high-dimensional data
1/12/18 → 31/05/22
Project: Research project
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Data transformation for meta-analysis with application to evidence-based medicine
1/07/17 → 30/06/19
Project: Research project
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Shrinkage-based classification methods for analyzing high-dimensional data
1/01/12 → 31/12/13
Project: Research project
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Debiased learning and forecasting of first derivative
Wang, W. W., Lu, J., Tong, T. & Liu, Z., 25 Jan 2022, In: Knowledge-Based Systems. 236, 107781.Research output: Contribution to journal › Article › peer-review
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Development of a method for quantitative evaluation of facial swelling in a rat model of cerebral ischemia by facial image processing
Liu, Y., Huang, H., Li, Y., Cui, J., Tong, T., Yang, H. & Liu, Y., 24 Feb 2022, In: Frontiers in Medicine. 9, 12 p., 737662.Research output: Contribution to journal › Article › peer-review
Open Access -
Direct local linear estimation for Sharpe ratio function
Lin, H., Tong, T., Wang, Y., Xu, W. & Zhang, R., Mar 2022, In: Canadian Journal of Statistics. 50, 1, p. 36-58 23 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Partially Linear Single-Index Model in the Presence of Measurement Error
Lin, H., Shi, J., Tong, T. & Zhang, R., 3 Aug 2022, (E-pub ahead of print) In: Journal of Systems Science and Complexity.Research output: Contribution to journal › Article › peer-review
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Variable selection for functional linear models with strong heredity constraint
Feng, S., Zhang, M. & Tong, T., Apr 2022, In: Annals of the Institute of Statistical Mathematics. 74, 2, p. 321-339 19 p.Research output: Contribution to journal › Article › peer-review