Zeda Li

Asst Professor

Zicklin School of Business

Department: Paul Chook Dept InfoSys & Stat

Areas of expertise: Statistics and Data Science

Email Address: zeda.li@baruch.cuny.edu

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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.  

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

SemesterCourse PrefixCourse NumberCourse Name
Fall 2023STA9708Managerial Statistics
Fall 2023STA9797Advanced Data Analysis
Spring 2022STA3154Business Statistics II
Fall 2021STA9719Fndtns Stat Inferenc
Fall 2021STA9708Managerial Statistics
Spring 2021STA3154Business Statistics II
Spring 2021STA2000Business Statistics I
Spring 2020STA3000Statistical Computing
Fall 2019STA9701Time Ser: Forecast & Stat Mod
Fall 2019STA2000Business Statistics I
Spring 2019STA2000Business Statistics I
Spring 2019STA3154Business Statistics II
Fall 2018STA9708Managerial Statistics
Fall 2018STA9701Time Ser: Forecast & Stat Mod

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 21). 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.

TitleFunding Agency SponsorStart DateEnd DateAwarded DateTotal FundingStatus
Spectral Analysis Framework of High-dimensional Nonstationary Time SeriesPSC-CUNY 5107/01/202012/31/202204/17/20203350Completed
Evaluating Postural Control and Cognitive Impairment in People with Neurodegenerative Disease: Adaptive Bayesian Time Series ApproachEugene Lang Fellowship06/01/202012/31/202105/17/20206605.71Funded - In Progress
Dimension Reduction for Complex Time Series in Frequency and Time Domain0Submitted for Review
Honor / AwardOrganization SponsorDate ReceivedDescription
The New Researcher Conference Travel AwardInstitute of Mathematical Statistics2022-04-15
Iglewicz Publication AwardTemple University2018Award to a PhD student who had outstanding publication records and pipeline.
First Place, Doctoral Student Paper CompetitionFox School of Business, Temple University2016Research competition for doctoral students across the school.
Student Paper AwardAmerican Statistical Association2016A student paper award to student(s) who authored an outstanding paper.
Second Place, Doctoral Student Paper CompetitionFox School of Business, Temple University2015Research competition for doctoral students across the school.

Department

Committee NamePosition RoleStart DateEnd Date
Prizes, Scholarships, and AwardsCommittee Member5/1/2019Present
Second Annual Symposium on Data AnalyticsCommittee Member9/1/2018Present
Research and Professional DevelopmentCommittee Member5/1/2019Present

College

Committee NamePosition RoleStart DateEnd Date
Zicklin's Undergraduate Curriculum CommitteeCommittee MemberPresent
Joint Committee on ResearchCommittee MemberPresent
Prizes, Scholarships, and AwardsCommittee MemberPresent
Research and Professional DevelopmentCommittee MemberPresent
Organizing Committee of Annual Symposium on Data AnalyticsCommittee MemberPresent
Redesign for STA 3000 and STA 9750Committee MemberPresent
Departmental Faculty Search CommitteeCommittee MemberPresent
Joint Committee on ResearchCommittee ChairPresent
SQM Major Area AdvisorFaculty AdvisorPresent
Departmental Undergraduate Curriculum CommitteeCommittee MemberPresent
Departmental Faculty Search CommitteeCommittee Member3/8/2024
Departmental Seminar Organizer5/20/2021

Professional

OrganizationPosition RoleOrganization StateOrganization CountryStart DateEnd DateAudience
CMStatistics 2020Program OrganizerUnited KingdomUnited Kingdom8/1/2020PresentInternational
Organizing Committe of CMStatistics 2020Committee MemberLondonUnited KingdomPresentInternational
Journal of the American Statistical AssociationReviewer, Journal Article9/1/2020PresentInternational
Annals of StatisticsReviewer, Journal Article8/1/2020PresentInternational
BiostatisticsReviewer, Journal Article7/8/2020PresentInternational
Computational Statistics and Data AnalysisReviewer, Journal Article9/1/2020PresentInternational
Data Science in ScienceReviewer, Journal Article8/22/2023PresentInternational
Journal of the American Statistical AssociationReviewer, Journal Article8/26/2020PresentInternational
Statistics and Its InterfaceReviewer, Journal Article8/26/2020PresentInternational
Journal of Computational and Applied MathematicsReviewer, Journal Article8/26/2020PresentInternational
Journal of Systems Science and ComplexityReviewer, Journal Article9/1/2020PresentInternational
Journal of Nonparametric StatisticsReviewer, Journal Article1/15/2019PresentInternational
Joint Statistical MeetingSession Chair8/1/20248/31/2024International