Zeda Li

Education

Ph.D., Statistics, Temple University Philadelphia PA

M.S., Biostatistics, Middle Tennessee State University

M.S., Electrical Engineering, Middle Tennessee State University

B.S., Electrical Engineering, Central South University of Forestry and Technology

Journal Articles

(2024). A measure of the advantages of contemporaneous aggregation in forecasting. Journal of Forecasting,

Li, Z., & Dong, Y. (2024). A Cepstral Model for Frequency Domain Analysis of Covariate-dependent Time Series. Journal of Computational and Graphical Statistics,

(2024). A note on Marginal Coordinate Test in Sufficient Dimension Reduction. Statistics and Probability Letters, 204(109947).

(2024). ANOPOW for Replicated Nonstationary Time Series In Experiments. Annals of Applied Statistics, 18. 328-349.

Wang, Y., Li, Z., & Bruce, S. (2023). Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis. Biometrtics, 79. 1826-1839.

Li, Z. (2023). Robust spectral analysis of replicated time series. Statistics and Its Interface, 16. 81-96.

(2022). Interpretable Classification of categorical time series using spectral envelope and scaling. Journal of Machine Learning Research, 23. 1-31.

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, (30). 794-807.

Li, Z., & Dong, Y. (2021). Model-free variable selection with matrix-valued predictors. Journal of Computational and Graphical Statistics, 30. 171-181.

Li, Z., Bruce, S., Wutzke, C., & Long, Y. (2021). Conditional adaptive Bayesian spectral analysis of replicated multivariate time series. Statistics in Medicine, 40(8). 1989–2005.

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., & Krafty, R. (2019). Adaptive Bayesian time-frequency analysis of multivariate time series. Journal of the American Statistical Association, 114. 453-465.

Dong, Y., & Li, Z. (2018). On sliced inverse regression with response missing at random. Journal of Nonparametric Statistics, 30. 990-1002.

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., Xia, Q., Tang, C., & 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 inffisuciency. Pediatric blood & cancer, 61(4). 723-728.

Mean Independent Component Analysis for Multivariate Time Series. Statistica Sinica,

Presentations

Li, Z. (2022, April 15). Spectral Analysis Framework for High-dimensional Time Series. Departmental Seminar, University of Alabama. : Department of Information System, Statistics, and Management Science, University of Alabama.

Li, Z. (2021, March 26). Classification of Categorical Time Series Using Spectral Envelope and Optimal Scalings. Departmental Seminar, Montana State University. Virtual: Department of Mathematical Science, Montana State University.

Li, Z. (2024, December 30). A Frequency Domain Multivariate Linear Model for Replicated Time Series. CMStatistics. Virtual

Li, Z. (2020, December 31). Robust Spectral Analysis of Replicated Time Series. CMStatistics.

Li, Z. (2020, October 8). Spectral Analysis Framework for High-dimensional Time Series. Departmental Seminar, Southern Methodist University. : Department of Statistics, Southern Methodist Universituy.

Li, Z. (2019, February 28). Adaptive Bayesian Spectral Analysis of High-dimensional Time Series. Departmental Seminar, George Mason University. Fairfax, VA: Department of Statistics, George Mason University.

Li, Z. (2019, May 31). Model-free Variable Selection for Matrix-valued Predictor. New England Statistical Symposium. Hartford, CT

Li, Z. (2019, February 28). Experience in Ph.D. Program in Statistics. Alumni Panel. Philadelphia, PA: Fox School of Business, Temple University.

Li, Z. (2019, June 30). Adaptive Bayesian Spectral Analysis of High-dimensional Time Series. EcoSta. Taichung, Taiwan

Li, Z. (2019, July 31). Adaptive Bayesian Spectral Analysis of High-dimensional Time Series. Joint Statistical Meeting. Denver, CO

Li, Z. (2019, July 31). Adaptive Bayesian Spectral Analysis of High-dimensional Time Series. ICSA China Conference. Tianjin, China

Li, Z. (2019, July 31). Adaptive Bayesian Spectral Analysis of Multivariate Time Series. Departmental Seminar, University of Science and Technology of China. Hefei, China: Department of Finance and Statistics, University of Science and Technology of China.

Li, Z. (2019, December 31). Bayesian Spectral Analysis Framework for Replicated Time Series. CMStatistics. London, UK

Li, Z. (2018, December 31). Adaptive Bayesian Spectral Analysis of High-dimensional Time Series. CMStatistics. Pisa, Italy

Li, Z. (2018, January 31). Adaptive Bayesian Time-frequency Analysis of Multivariate Time Series. Departmental Seminar, University of Kentucky. Lexington, KY: Department of Statistics, University of Kentucky.

Li, Z. (2018, January 31). Adaptive Bayesian Time-frequency Analysis of Multivariate Time Series. Departmental Seminar, University of Texas at San Antonio. San Antonio, TX: Department of Management Science, University of Texas at San Antonio.

Li, Z. (2018, May 31). Adaptive Bayesian Time-frequency Analysis of Multivariate Time Series. Departmental Seminar, University of Pittsburgh. Pittsburgh, PA: Department of Biostatistics, University of Pittsburgh.

Li, Z. (2018, February 28). Adaptive Bayesian Time-frequency Analysis of Multivariate Time Series. Departmental Seminar, University of South Carolina. Columbia, SC: Department of Biostatistics, University of South Carolina.

Li, Z. (2018, January 31). Adaptive Bayesian Time-frequency Analysis of Multivariate Time Series. Departmental Seminar, City University of Hong Kong. Hong Kong, China: Department of Management Science, City University of Hong Kong.

Li, Z. (2017, December 31). Adaptive Bayesian Time-frequency Analysis of Multivariate Time Series. Departmental Seminar, California State University at Fullerton. Fullerton, CA: Department of Information System, California State University at Fullerton.

Li, Z. (2017, December 31). Adaptive Bayesian Time-frequency Analysis of Multivariate Time Series. Departmental Seminar, Villanova University. Villanova, PA: Department of Mathematics and Statistics, Villanova University.

Li, Z. (2017, December 31). Adaptive Bayesian Time-frequency Analysis of Multivariate Time Series. Seminar, Hunan University. Changsha, China: School of Finance and Statistics, Hunan University.

Li, Z. (2017, July 31). Adaptive Bayesian Spectral Analysis of Multivariate Nonstationary Time Series. Joint Statistical Meeting. Baltimore, MD

Li, Z. (2017, March 31). Adaptive Bayesian Spectral Analysis of Multivariate Nonstationary Time Series. ENAR Spring Meeting. Washington, DC

Li, Z. (2016, August 31). Nonparametric distributed learning architecture for `big data': Algorithm and applications. Joint Statistical Meeting. Chicago, IL

Research Currently in Progess

Li, Z., Lee, C., & Krafty, R.(n.d.). Conditionally Spectral Component Analysis for Replicated Time Series. In Progress.

Li, Z.(n.d.). Conditionally Incoherent Component Analysis. In Progress.

Li, Z.(n.d.). Covariate-Assited Spectral Envelope Regression Model. In Progress.

Department

College

Professional