Shanshan Ding
Shanshan Ding
Office Location:
531 S. College Avenue
225 Townsend Hall
Newark, DE 19716
Education
Ìý
- Ph.D., Statistics, University of Minnesota, Minneapolis, 2014
- M.S., Applied and Computational Mathematics, University of Minnesota, Duluth, 2008
- M.S., Finance, Peking University, 2004
- B.S., Applied Mathematics, Nankai University, 2002
Currently Teaching
Ìý
- STAT 617-010 – Multivariate Methods
Research Interests
Ìý
Dimension reduction, high dimensional data analysis,Ìý multivariate analysis, envelope models, imaging data analysis, longitudinal data analysis, econometrics, health and environmental applications.
Ìý
Qian, W., Ding, S., and Cook, R. D. (2018). . . 1-48.
Wang, L.* and Ding, S. (2018). Vector-autoregression and envelope model.Ìý . Accepted.
Ding, S. and Cook, R. D. (2018). . , 80, 387-408.
, 1-36.
Zia, A., Messer, K. D., Ding, S., Miao, H., Suter, J., Fooks, J. R., Guilfoos, T., Trandafir, S., Uchida, E., Tsai, Y., Merrill, S., Turnbull, S., and Koliba, C. (2016). Spatial effects of sensor information in inducing cooperative behaviors for managing non-point source pollution: Evidence from a decision game in an idealized watershed. Preprint.
Jain, Y.* and Ding, S. (2017). An integrative sufficient dimension reduction method for multi-omics data analysis. Proceedings of ACM BCB. Accepted.
Ding, S. and Cook, R. D. (2015). Tensor sliced inverse regression. . 133, 216-231.
Ding, S. and Cook, R. D. (2015). Higher-order sliced inverse regression. . 7, 249-257.
Ding, S. and Cook, R. D. (2014). Dimension folding PCA and PFC for matrix-valued predictors. , 24, 463-492.
Ding, S. and Sinha, M. (2011). Evaluation of power of different Cox proportional hazards models incorporating stratification factors. In . Miami, FL: American Statistical Association, 4307-4320.
*Student authors