| NO. | Beijing Time (UTC+8) | Type | Presentation Topic | Speaker | Affiliation / Organization |
|---|---|---|---|---|---|
| 1 | 13:30-13:46 | Contributed Talk |
Joint Estimation of Edge Probabilities for Multi-Layer Networks via Neighborhood Smoothing |
Diqing Li | Zhejiang Gongshang University |
| 2 | 13:46-14:02 | Contributed Talk |
基于网络信息的近似因子模型估计 |
Yuzhou Zhao | Renmin university of China |
| 3 | 14:02-14:18 | Contributed Talk |
数据要素促进居民家庭服务消费的理论机制研究—基于CHFS的经验证据 |
Tianle Li | Henan University of Economics and Law |
| 4 | 14:18-14:34 | Contributed Talk |
Differentially Private Adaptive Neyman Allocation for Sequential Experiments |
Yaqi Zhou | Tsinghua University |
| 5 | 14:34-14:50 | Contributed Talk |
Consumer Default Risk Portrait: An Intelligent Management Framework of Online Consumer Credit Default Risk |
Miao Zhu | Huaqiao University |
| 6 | 14:50-15:06 | Contributed Talk |
基本公共服务均衡布局能否增强城市创新网络韧性 |
Na Kang | Zhejiang Gongshang University |
| NO. | Beijing Time (UTC+8) | Type | Presentation Topic | Speaker | Affiliation / Organization |
|---|---|---|---|---|---|
| 1 | 15:30-15:46 | Contributed Talk |
Z-Valued Smooth Transition GARCH Models: Specification and Testing |
Fukang Zhu | Jilin University |
| 2 | 15:46-16:02 | Contributed Talk |
A Unified Statistical Framework for Testing Stochastic Dominance |
Weiqi Yang | University of Science and Technology of China |
| 3 | 16:02-16:18 | Contributed Talk |
Testing and Estimation of Change Point in ARMA Model with Heavy-Tailed G-GARCH Noises |
Qiang Bai | Shanxi University of Finance and Economics |
| 4 | 16:18-16:34 | Contributed Talk |
Impact Mechanism of Digital Economy Policies on the Synergistic Effects of Pollution-Carbon Reduction in Cities: A Causal Inference Approach Based on Double Machine Learning |
Yuhuan Sun | Dongbei University of Finance and Economics |
| 5 | 16:34-16:50 | Contributed Talk |
Generalized Spectral Testing with Sample Splitting |
Yuxin Tao | Southern University of Science and Technology |
| 6 | 16:50-17:06 | Contributed Talk |
Stable Causal Targeting with Machine Learning: Application to a Consumer Finance Field Experiment |
Junni Zhang | Peking University |