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2025 International Symposium on Time Series and Panel Data in the AI Era

Date：2025-12-18
Speaker:
Speaker Intro:

Cheng Hsiao, University of Southern California

Jiti Gao, Monash University
Jinyuan Chang, Southwestern University of Finance and Economics 
Jianqing Fan, Princeton University
Qu Feng, Nanyang Technological University
Jiancheng Jiang, University of North Carolina at Charlotte
Bingyi Jing, Southern University of Science and Technology
Tae-Hwy Lee, University of California, Riverside
Jia Li, Singapore Management University
Guodong Li, The University of Hong Kong
Degui Li, University of Macao
Kunpeng Li, Capital University of Economics and Business
Shiqing Ling, The Hong Kong University of Science and Technology
Whitney Newey, Massachusetts Institute of Technology
Zhentao Shi, The Chinese University of Hong Kong
Liangjun Su, Tsinghua University
Yundong Tu, Peking University
Zhijie Xiao, Boston College
Lijian Yang, Tsinghua University
Yong Zhou, East China Normal University
Guohua Zou, Capital Normal University
Host: Yongmiao Hong
Description：

The symposium will focus on econometric theory and machine learning, time series, panel data and factor models, time series and financial econometrics, statistical learning, panel data and factor model, and time series and machine learning.

 

Organizers:

Paula and Gregory Chow Institute for Studies in Economics, Xiamen University; Wang Yanan Institute for Studies in Economics, Xiamen University; Institute of Artificial Intelligence, Xiamen University; XMU-CAS Basic Science Center for Econometric Modeling and Economic Policy Analysis
Time: June 22-23, 2025
Venue: C108, Economics Building, Xiamen University
Organizer: Paula and Gregory Chow Institute for Studies in Economics, Xiamen University
Contact: Violet Chen, 0592-2187858, violetchen@xmu.edu.cn
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