I am Assistant Professor of statistics in the Paul H. Chook Department of Information System and Statistics, Zicklin School of Business, Baruch College, CUNY.

I earned my Ph.D. in Statistics from the Department of Statistical Science, Temple Univeristy under William W.S. Wei and Robert Krafty. My research interests include: time series analysis, spectral analysis, Nonparametric statistics, Bayesian computational methods, dimension reduction, and variable selection.

Contact

• One Bernard Baruch Way, New York, NY 10010
• Email: zeda.li at baruch.cuny.edu
• Phone: (646) 312-3379

Publications

( ^* denotes student authors)

• Li, Z. and Wei, W. (2024+) “Measuring the Advantages of Contemporaneous Aggregation in Forecasting.” Journal of Forecasting, To appear

• Li, Z., Yue, Y., and Bruce, S. (2024) “ANOPOW for Replicated Nonstationary Time Series In Experiments.” Annals of Applied Statistics, 18, 328–349

• Dong, Y. and Li, Z. (2024) “A Note on Marginal Coordinate Test in Sufficient Dimension Reduction.” Statistics and Probability Letters, 204, 109947

• ^*Wang, Y., Li, Z., Bruce, S. (2023) “Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis.” Biometrics, 79, 1826-1839.

• Li, Z. (2023) “Robust Conditional Spectral Analysis of Replicated Time Series.” Statistics and Its Interface, 16, 81-96.

• Li, Z., Bruce, S. and ^*Cai, T. (2022) “Interpretable Classification of Categorical Time Series Using the Spectral Envelope and Optimal Scalings.” Journal of Machine Learning Research, 23, 1-31.

• Li, Z., Rosen, O., Ferrarelli, F, and Krafty, R.T. (2021) “Adaptive Bayesian Spectral Analysis of High-Dimensional Nonstationary Time Series.” Journal of Computational and Graphical Statistics. 30, 794-807.

• Li, Z., Bruce, S., Wutzke, C., ^*Long, Y. (2021) “Conditional Adaptive Bayesian Spectral Analysis of Replicated Multivariate Time Series.” Statistics in Medicine. 40, 1989–2005.

• Li, Z. and Dong, Y. (2021) “Model-Free Variable Selection with Matrix-Valued Predictors.” Journal of Computational and Graphical Statistics. 30, 171-178.

• Li, Z. and Krafty, R.T. (2019) “Adaptive Bayesian time-frequency analysis of multivariate time series.” Journal of the American Statistical Association. 114, 453-465.

• Bruce, S., Li, Z., Yang, H.C., and Mukhopadhyay, S. (2019) “Nonparametric distributed learning architecture for big data: Algorithm and applications.” IEEE Transactions on Big Data. 5, 166-179.

• Li, Z. and 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. and 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., and 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., and Henry, K. (2014) “Overweight pediatric cancer survivors have a high risk of vitamin D insufficiency.” Pediatric Blood & Cancer 61, 723-728.

Teaching

At Baruch College, The City University of New York

1. STA 2000: Business Statistics I
2. STA 3000: Statistical Computing
3. STA 3154: Business Statistics II
4. STA 9701: Time Series: Forecasting and Statistical Modeling
5. STA 9708: Managerial Statistics
6. STA 9719: Foundations of Statistical Inferences
7. STA 9797: Advanced Data Analysis

At Graduate Center, The City University of New York

1. STAT 70500: Multivariate Statistical Mehods

At Temple University

1. STAT 1001: Quantitative Methods for Business I
2. STAT 1102: Quantitative Methods for Business II
3. STAT 2103: Business Statistical Analytics
4. First-year Ph.D. student Math Camp