- Assistant Professor of Statistics
- Paul H. Chook Department of Information Systems and Statistics
Zeda Li is an assistant professor of statistics in the Paul H. Chook Department of Information System and Statistics in the Zicklin School of Business. Dr. Li’s research focuses on developing statistical methods for the analysis of multivariate and high—dimensional time series in both time domain and frequency domain. He is also interested in research on variable selection, sufficient dimension reduction, Bayesian data analysis, and big data analysis.
Li, Z., Bruce, S., Wutzke, C., & Long, Y. (2021) Conditional adaptive Bayesian spectral analysis of replicated multivariate time series. Statistics in Medicine (to appear).
Li, Z., Rosen, O., Ferrarelli, F. & Krafty, R. (2021). Adaptive Bayesian spectral analysis of high-dimensional nonstationary time series. Journal of Computational and Graphical Statistics (to appear).
Li, Z., & Dong, Y. (2020). Model-free variable selection with matrix-valued predictors. Journal of Computational and Graphical Statistics (to appear).
Li, Z., & Krafty, R. (2019). Adaptive Bayesian time-frequency analysis of multivariate time series. Journal of the American Statistical Association, 114, 453-465.
Bruce, S., Li, Z., Yang, A., & Mukhopadhyay, S. (2019). Nonparametric distributed learning architecture for big data: Algorithm and applications. IEEE Transactions on Big Data, 5, 166-179.
Li, Z., & Bruce, S. (2018). Discussion of the statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages. Journal of the Royal Statistical Society: Series C, 67, 1103-1145.
Dong, Y., & Li, Z. (2018). On sliced inverse regression with response missing at random. Journal of Nonparametric Statistics, 30, 990-1002.
Dong, Y., Xia, Q., Tang, C. Y., & Li, Z. (2018). On sufficient dimension reduction with missing responses through estimating equations. Computational Statistics and Data Analysis, 126, 67-77.
Esbenshade, A., Sopfe, J., Zhao, Z., Li, Z., Campbell, K., Simmons, J., & Friedman, D. (2014). Overweight pediatric cancer survivors have a high risk of vitamin D insufficiency. Pediatric blood & cancer, 61(4), 723-728.
Iglewicz Publication Award 2018
Student Paper Award, American Statistical Association (as coauthor) 2016
First place, Fox School of Business Doctoral Student Research Competition 2016
Second place, Fox School of Business Doctoral Student Research Competition 2015
Fox school of Business Young Scholar Forum Research Seed funding 2014