Research
RESEARCH INTERESTS
· Longitudinal data analysis
· Survival analysis
· Clinical trials design
· Time series analysis
· Statistical machine learning
· Missing value problems
· High-dimensional statistics
· Circular functional clustering
· Dynamic spatio-temporal models
· Generalized linear models
· Mixed-effects models
I enjoy interdisciplinary and collaborative research in nephrology, neurology, pharmaceuticals, ophthalmology, actuarial sciences, environmental sciences, environmental economics, health economics, and in general topics motivated by public health and climate change.
EDUCATION
University of California, Santa Barbara 2017-present
Doctor of Philosophy, Statistics
Dissertation: State Space Models for Longitudinal Electronic Health Records Data
University of California, Santa Barbara 2017-2019
Master of Arts, Statistics
University of Wisconsin-Madison 2015-2017
Bachelor of Science (Honors), Statistics and Mathematics, with Distinction
Honors Thesis: Limits of Mixed Effect Regression Model on Complex Structured Survey Datasets
PUBLICATIONS (* = co-first author, § = corresponding author.)
Published
1. Hu, M.§ (2022). Income and expenditure in US households: A multivariate analysis of Consumer Expenditure fmli161 dataset. Computational Statistics. doi: https://doi.org/10.1007/s00180-022-01251-2
2. Sui, X., Hu, M.*, Wang, H., and Zhao, L. (2022). Improved elasticity estimation model for typhoon storm surge losses in China. Natural Hazards. doi: https://doi.org/10.1007/s11069-022-05768-z.
3. Jiang, Q., Xu, Z., Ye, G., Pahlow, M, Hu, M., and Qu, S. (2022). A systematic scoping review of environmental and socio-economic effects of COVID-19 on the global ocean-human system. Science of the Total Environment, 849(157925). doi: https://doi.org/10.1016/j.scitotenv.2022.157925.
4. Feng, D., Hu, M., Zhao, L., and Liu, S. (2022). The Impact of Firm Heterogeneity and External Factor Change on Innovation: Evidence from the Vehicle Industry Sector. Sustainability, 14(11):6507. doi: https://doi.org/10.3390/su14116507
5. Sui, X., Hu, M.*, Wang, H., and Zhao, L. (2022). Measurement of Coastal Marine Disaster Resilience and Key Factors with Random Forest Model - The Perspective of China’s Global Maritime Capital Construction. Water 14, 20(3265). doi: https://doi.org/10.3390/w14203265
6. Hu, M.§, Zhang, Y., and Dowling, N. M (2017). An analysis of factors predicting memory loss in Alzheimer's disease prevention. 2017 International Joint Conference on Neural Networks (IJCNN) Proceedings. pp. 1281-1288.
doi: https://10.1109/IJCNN.2017.7966000
6. Wang, H., Zhao, L. and Hu, M. (2017). The morbidity of multivariable grey model MGM(1, m). International Journal of Differential Equations, 2017:2495686. doi: https://doi.org/10.1155/2017/2495686
Submitted Manuscripts
1. Luo, Y.*, Hu, M.*, and Wang, Y. (2022+). Joint modeling of longitudinal processes
and mortality via mixed effects state space models with applications to dialysis data. Journal of American Statistics Association. Under review.
2. Hu, M.§, Zhao, L., and Feng, D. (2022). Mixed effects state space models on research and development performance in the new energy vehicle industry after COVID-19 outbreak. Journal of Data Science. Under review.
3. Costello, C., Deschênes, O., Englander, G., Hu, M., Jiang, Q., Villaseñor-Derbez, J. C. and Zhang, J. (2022). Do Fuel Subsidies Increase Fishing? AEA Papers and Proceedings. Under review.
4. Zhao, Z., Shi, X., Cao, Y. and Hu, M. (2022). Spatial individual and interactive effects of urban population spatial distribution on CO2 emissions in China. Sustainability Science. Under review.
5. Hu, M.§, Jiang, Q. (2022). State space assessment on the impact of sea surface temperature on fishing effort in continental US exclusive economic zones. Frontiers in Marine Science. Under review.
6. Zheng, C., Hu, M.*, Sui, X., Zhao, L., Wang, H. (2022). Trigger Value Determination and Ratemaking for Typhoon Storm Surge Catastrophe Insurance with Maximum Storm Surge Increment Index. International Journal of Disaster Risk Reduction. Submitted.
Working Papers
1. “Circular functional classification of OCT data for precise identification of retinal structural phenotypes”, with Petersen, A., Jammalamadaka, S. R. and Pyne, S.
2. “Projected CMIP6 offshore wind field in China using trend-preserving downscaling method”, with Wang, H., Jiang, W. and Zhao, L.
3. “Dynamic prediction for the impact of COVID-19 on housing security in the US”.
4. “A study on the impact of demographic structure on the demand for commercial personal insurance based on mediation effect”, with Fu, W., et al.
5. “The influence of population age structure on the current gap of endowment insurance from the three-child policy”, with Liu, H., et al.
6. “Influence of high-speed rail network construction on the unbalanced regional development of China's insurance industry”, with Wang, M., et al.
7. “Optimal adjustment of endowment insurance parameters under population aging via the overlapping generations model”, Xu, F., et al.
8. “Research on the relationship between product structure and operating performance of life insurance companies”, with Yang, H., et al.
9. “A study on the impact of new urbanization and population aging on carbon emissions”, with Duan, X., et al.
10. “Can cross-market pairs trading in China and US stock market be profitable during COVID-19”, with Wang, J. et al.
11. “Association between industrial green development and labor employment due to the threshold effect”, with Yu, X. et al.