Personal profile
Biography
Chen Tang is a Lecturer in Statistics. Chen's current research lies in functional data analysis, functional time series modeling and mortality forecasting. Chen applies functional data approach to motrality data of multi-population to improve forecasting accuracy. His PhD work focuses on modeling and forecasting high-dimensional functional time series.
Research Interests
Functional Data Analysis
Functional Time Series Analysis
Mortality Forecasting
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Collaborations and top research areas from the last five years
Research output
- 5 Article
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Forecasting high-dimensional functional time series with dual-factor structures
Tang, C., Shang , H. L., Yang, Y. & Yang, Y., 7 Oct 2025, (E-pub ahead of print) In: Journal of the Royal Statistical Society. Series A: Statistics in Society. 24 p., qnaf144.Research output: Contribution to journal › Article › peer-review
Open Access -
Clustering and Forecasting Multiple Functional Time Series
Tang, C., Shang, H. L. & Yang, Y., Dec 2022, In: Annals of Applied Statistics. 16, 4, p. 2523-2553 31 p.Research output: Contribution to journal › Article › peer-review
Open Access16 Citations (Scopus) -
Functional data analysis: An application to COVID-19 data in the United States in 2020
Tang, C., Wang, T. & Zhang, P., Jun 2022, In: Quantitative Biology. 10, 2, p. 172-187 16 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Forecasting High-Dimensional Financial Functional Time Series: An Application to Constituent Stocks in Dow Jones Index
Tang, C. & Shi, Y., Aug 2021, In: Journal of Risk and Financial Management. 14, 8, 343.Research output: Contribution to journal › Article › peer-review
Open Access9 Citations (Scopus) -
Valuing Annuities Based on Alternative Mortality Projections
Tang, C., Browne, B. & Bruhn, A., 2015, In: Australian Journal of Actuarial Practice. 3, p. 23-33Research output: Contribution to journal › Article › peer-review