Dr. Yue Mu · Nanyang Technological University (NTU), Singapore
Journal articles and book chapters by Dr. Yue Mu, Lecturer in the School of Physical and Mathematical Sciences at NTU. These publications cover statistical methodology and applications in biomedical sciences, public health, economics and sustainability.
35. Jia, Q., Cai, X., Yue, M., Huang, L. (2026). Lag effect of market switching in oil price volatility forecasting. Statistics Innovation 3: e016 https://doi.org/10.48130/stati-0026-0013
34. Wang, Z., Xu, X., Xie, X., Yue, M.^. (2026). Sparse boosting approach for high-dimensional Granger causality learning in multivariate time series. Communications in Statistics-Simulation and Computation, 1-23. https://doi.org/10.1080/03610918.2026.2669363 (# Tier 1B, 2026)
33. Li, C., Pan, X., Xu, Z., Wu, L., Yue, M., et al. (2026). Disasters weaken the synergy effects among the global Sustainable Development Goals. Iscience 29 (6). https://doi.org/10.1016/j.isci.2026.116139 (# Tier 1B, 2026)
32. Li, C., Yue, M., et al. (2026). Extreme climate disasters exacerbated the global inequalities in sustainable development. Humanities and Social Sciences Communications. Accepted. (# Tier 1B, 2026)
31. Zheng, C., Zhong, Z., Wu, B., Zhao, X., Yue, M., et al. (2026). Evolution of transmission risk in public health emergencies: an MCMC-based approach in the Chinese context. Kybernetes. 55 (2), 736-770. https://doi.org/10.1108/K-05-2024-1184
30. Li, C., Yue, M.^, et al. (2025). Drivers of Urban Fixed Assets Investment Efficiency across Western China. Journal of Competitiveness. 17 (4), 123-147. https://doi.org/10.7441/joc.2025.04.05
29. Li, C., Meng, J., Yue, M.^, et al. (2025). Impact of climate policy uncertainty on the credit asset quality of commercial banks. Applied Economics Letters. 1-4. https://doi.org/10.1080/13504851.2025.2569708
28. Wong, WK., Yue, M.^ (2025). Could the correlation of a stationary series with a non-stationary series obtain meaningful outcomes? Annals of Financial Economics, 20(03), 2550015. https://doi.org/10.1142/S2010495225500150
27. Zheng, C., Zhong, Z., Wu, B., Zhao, X., Yue, M., et al. (2025). Emergency decision-making in public health emergencies: Integrating intuitionistic fuzzy preferences with knowledge-unit case-based reasoning. Applied Soft Computing. 180, 113451. https://doi.org/10.1016/j.asoc.2025.113451 (## Tier 1A, 2025)
26. Li, C., Zhang W., Xu, Z., Zhang, Y., Yue, M., et al. (2025). Impacts and Threshold Effects of Total Factor Energy Efficiency on Carbon Emissions and Carbon Neutrality across China’s cities. Humanities and Social Sciences Communications. 12, 1206 (2025). https://doi.org/10.1057/s41599-025-05488-2 (# Tier 1B, 2025)
25. Li, C., Luo, C., Jia, H., Yue, M. & Wu, L. (2025). Advancing agricultural economic growth through technology innovation and structural transformation: A multilevel analysis. Journal of Innovation& Knowledge. 10 (4) 100743. https://doi.org/10.1016/j.jik.2025.100743 (## Tier 1A, 2025)
24. Li, C., Chen, Z., Jiang, Q., Yue, M., et al. (2025). Impacts of government attention on achieving Sustainable Development Goals: Evidence from China. Geography and Sustainability, 6(2),100233. https://doi.org/10.1016/j.geosus.2024.08.011
23. Yue, M.^ & Xi, J. (2025). Sparse Boosting for Additive Spatial Autoregressive Model with High Dimensionality. Mathematics. 13, 757. https://doi.org/10.3390/math13050757
22. Wan, J., Li, C., Yue, M.^, et al. (2025). Dynamic spatial spillover effects of financial agglomeration on CO2 emissions: The case of China. Humanities and Social Sciences Communications, 12(1), 178. https://doi.org/10.1057/s41599-025-04455-1 (# Tier 1B, 2025)
21. Zheng, C., Peng, B., Zhao, X., Wei, G., Wan, A. & Yue, M.^ (2025). Power battery third-party reverse logistics provider selection: Fuzzy evidential reasoning. Energy & Environment, 36 (1), 323-355. https://doi.org/10.1177/0958305X231179905
20. Zhang, Z., Yue, M., Huang, L., Wang, Q., and Yang, B. (2025). Large portfolio allocation based on high-dimensional regression and Kendall’s Tau. Communication in Statistics - Simulation and Computation, 54 (1), 58-70. https://doi.org/10.1080/03610918.2023.2245176 (# Tier 1B, 2025)
19. Li, C., Pan, X., Yue, M.^, et al. (2025). Impact of artificial intelligence on the achievement of sustainable development goals across China. Frontiers in Environmental Science. 13, 1688466. https://doi.org/10.3389/fenvs.2025.1688466 (# Tier 1B, 2025)
18. Wong, WK. & Yue, M.^ (2024). Could regressing a stationary series on a non-stationary series obtain meaningful outcomes? Annals of Financial Economics, 19(03), 2450011. https://doi.org/10.1142/S2010495224500118
17. Wong, WK., Cheng Y. & Yue, M.^ (2024). Could regression of stationary series be spurious? Asia-Pacific Journal of Operational Research, 2440017. https://hdl.handle.net/10356/181224
16. Li, C., Bao, Y., Li, Y., Yue, M.^, et al. (2024). Assessment of the Coupling Coordination Relationship between the Green Financial System and the Sustainable Development System across China. Scientific Reports, 14(1), 11534. https://doi.org/10.1038/s41598-024-62471-8 (## Tier 1A, 2025)
15. Li, C., Zhao, G., Koh, K.P., Xu, Z., Yue, M., et al. (2024). Impact of China’s financial development on the sustainable development goals of the Belt and Road Initiative participating countries. Humanities and Social Sciences Communications, 11, 294. https://doi.org/10.1057/s41599-024-02791-2 (# Tier 1B, 2025)
14. Zheng, C., Peng, B., Zhao, X., Wei, G., Wan, A. & Yue, M.^ (2023). A large group hesitant fuzzy linguistic DEMATEL approach for identifying critical success factors in public health emergencies. Aslib Journal of Information Management. 75(6), 1104-1128. https://doi.org/10.1108/AJIM-05-2022-0270 (# Tier 1B, 2025)
13. Li, C., Zhang, Y., Chen, Z., Wang, X., Yue, M., et al. (2023). Systematic and dynamic impacts of the COVID-19 pandemic on marine economic development, air pollution and energy consumption: A case study of China’s coastal regions. Ocean & Coastal Management, 244,106774. https://doi.org/10.1016/j.ocecoaman.2023.106774 (## Tier 1A, 2025)
12. Zheng, C., Peng, B., Zhao, X., Wan, A. & Yue, M.^ (2023). A novel assessment approach based on group evidential reasoning and risk attitude. Group Decision and Negotiation, 1-40. https://doi.org/10.1007/s10726-023-09830-4
11. Yue, M., Sun, B. & Li, J. (2022). Conditional sparse boosting for high-dimensional instrumental variable estimation. Journal of Statistical Computation and Simulation, 92(15), 3087-3108. https://doi.org/10.1080/00949655.2022.2056739
10. Xu J., Yue, M., & Zhang W. (2020). A new multilevel modelling approach for clustered survival data. Econometric Theory, 36(4), 707-750. https://doi.org/10.1017/S0266466619000343 (## Tier 1A, 2025)
9. Yue, M. & Huang, L. A new approach of subgroup identification for high-dimensional longitudinal data. (2020). Journal of Statistical Computation and Simulation, 90(11), 2098-2116. https://doi.org/10.1080/00949655.2020.1764555
8. Yue, M., Clapham HE & Cook, A. R. (2020). Estimating the size of a COVID-19 epidemic from surveillance systems. Epidemiology, 31(4), 567-569. https://pubmed.ncbi.nlm.nih.gov/32324625/ (# Tier 1B, 2025)
7. Yue, M., Wang, Y., Low C. K., Yoong, J. S. Y., & Cook, A. R. (2020). Optimal design of population-level financial incentives of influenza vaccination for elderly. Value in Health, 23(2), 200-208. https://doi.org/10.1016/j.jval.2019.08.006 (## Tier 1A, 2025)
6. Yue, M., Dickens, B. L, Yoong, J. S. Y., Mark, I., Teerawattananon Y., & Cook, A. R. (2019). Cost-effectiveness analysis for influenza vaccination coverage and timing in tropical and subtropical climate settings: a modelling study. Value in Health, 22(12), 1345-1354. https://doi.org/10.1016/j.jval.2019.07.001 (## Tier 1A, 2025)
5. Li, J., Yue, M.^, & Zhang, W. (2019). Subgroup identification via homogeneity pursuit for dense longitudinal/spatial data. Statistics in Medicine, 38(17), 3256-3271. https://doi.org/10.1002/sim.8192 (# Tier 1B, 2025)
4. Yue, M., Li, J., & Cheng, M. Y. (2019). Two-step sparse boosting for high-dimensional longitudinal data with varying coefficients. Computational Statistics & Data Analysis, 131, 222-234. https://doi.org/10.1016/j.csda.2018.10.002 (# Tier 1B, 2025)
3. Teh, D. B. L., Chua, S. M., Prasad, A., Kakkos, I., Jiang, W., Yue, M., ... & All, A. H. (2018). Neuroprotective assessment of prolonged local hypothermia post contusive spinal cord injury in rodent model. The Spine Journal, 18(3), 507-514. https://doi.org/10.1016/j.spinee.2017.10.066
2. Yue, M., Li, J., & Ma, S. (2018). Sparse boosting for high-dimensional survival data with varying coefficients. Statistics in Medicine, 37(5), 789-800. https://doi.org/10.1002/sim.7544 (# Tier 1B, 2025)
1. Yue, M., & Li, J. (2017). Improvement screening for ultra-high dimensional data with censored survival outcomes and varying coefficients. The International Journal of Biostatistics, 13(1). https://doi.org/10.1515/ijb-2017-0024
1. Yue, M. (2021). Sparse Boosting Based Machine Learning Methods for High-Dimensional Data. Computational Statistics and Applications. DOI: 10.5772/intechopen.100506