编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:50 | 贡献报告 |
Beyond the Surface: Advanced Estimation of Ocean Interior Velocities via Surface Observations |
丁心如 | 北京大学 |
Contributed Talk |
Beyond the Surface: Advanced Estimation of Ocean Interior Velocities via Surface Observations |
Xinru Ding | Peking University | ||
2 | 13:50-14:10 | 贡献报告 |
融合多源信息的TimeGPT-GARCH族金融市场波动率预测模型 |
陈海清 | 南京财经大学 |
Contributed Talk |
融合多源信息的TimeGPT-GARCH族金融市场波动率预测模型 |
Haiqing Chen | Nanjing University Of Finance & Economics | ||
3 | 14:10-14:30 | 贡献报告 |
A further review on the optimal fingerprinting approach for climate studies, the case of errors in fingerprints |
陈涵玥 | 北京大学 |
Contributed Talk |
A further review on the optimal fingerprinting approach for climate studies, the case of errors in fingerprints |
Hanyue Chen | Peking University | ||
4 | 14:30-14:50 | 贡献报告 |
Partial Functional Dynamic Structural Equation Model |
刘新雯 | 云南大学(西南联合研究生院) |
Contributed Talk |
Partial Functional Dynamic Structural Equation Model |
Xinwen Liu | Yunnan University(Southwest United Graduate School) | ||
5 | 14:50-15:10 | 贡献报告 |
Sparse Boosting for Additive Spatial Autoregressive Model with High Dimensionality |
习婧欣 | 中国人民大学 |
Contributed Talk |
Sparse Boosting for Additive Spatial Autoregressive Model with High Dimensionality |
Jingxin Xi | Renmin University of China |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-15:50 | 贡献报告 |
Learning individualized treatment rules for a target population with right-censored survival outcomes |
何沛予 | 北京大学 |
Contributed Talk |
Learning individualized treatment rules for a target population with right-censored survival outcomes |
Peiyu He | Peking University | ||
2 | 15:50-16:10 | 贡献报告 |
Efficient Risk Assessment of Time-to-Event Targets With Adaptive Information Transfer |
丁 杰 | 大连理工大学数学科学学院 |
Contributed Talk |
Efficient Risk Assessment of Time-to-Event Targets With Adaptive Information Transfer |
Jie Ding | Dalian University of Technology | ||
3 | 16:10-16:30 | 贡献报告 |
Semiparametric Bayesian regularized quantile regression to mixed effect model for health insurance data |
王中正 | 浙江财经大学 |
Contributed Talk |
Semiparametric Bayesian regularized quantile regression to mixed effect model for health insurance data |
Zhongzheng Wang | ZheJiang university of finance and economics | ||
4 | 16:30-16:50 | 贡献报告 |
MM-LSNet: A Multi-Level Multi-Task Framework for Laser Spot Analysis in UWF-OCTA Images |
廖雨婷 | 中山大学 |
Contributed Talk |
MM-LSNet: A Multi-Level Multi-Task Framework for Laser Spot Analysis in UWF-OCTA Images |
Yuting Liao | Sun Yat-sen University | ||
5 | 16:50-17:10 | 贡献报告 |
Transfer learning for accelerated failure time model with microarray data |
郁正杨 | 首都经济贸易大学 |
Contributed Talk |
Transfer learning for accelerated failure time model with microarray data |
Zhengyang Yu | Capital University of Economics and Business |