编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 08:30-08:50 | 贡献报告 |
Bayesian Learning of Optimal Real-Time Dynamic Treatment Regimes |
朱海燕 | 华东师范大学经济与管理学部统计学院 |
Contributed Talk |
Bayesian Learning of Optimal Real-Time Dynamic Treatment Regimes |
Haiyan Zhu | East China Normal University | ||
2 | 08:50-09:10 | 贡献报告 |
基于结构方程模型的矩阵张量分解方法在脑电与量表数据融合中的应用 |
杜思敏 | 南方科技大学 |
Contributed Talk |
基于结构方程模型的矩阵张量分解方法在脑电与量表数据融合中的应用 |
Simin Du | Southern University of Science and Technology | ||
3 | 09:10-09:29 | 贡献报告 |
AdaBoost-rDNN: A boosting ensemble of deep neural networks with regularization for disease outcomes |
徐雅晴 | 上海交通大学医学院 |
Contributed Talk |
AdaBoost-rDNN: A boosting ensemble of deep neural networks with regularization for disease outcomes |
Yaqing Xu | Shanghai Jiao Tong University School of Medicine | ||
4 | 09:29-09:49 | 贡献报告 |
Regression-based methods for estimating optimal treatment regimes with unmeasured confounding |
梁玮杰 | 北京大学公共卫生学院 |
Contributed Talk |
Regression-based methods for estimating optimal treatment regimes with unmeasured confounding |
Weijie Liang | Peking University | ||
5 | 09:49-10:09 | 贡献报告 |
Disease progression trajectory curves to estimate saved time in Alzheimer’s disease trials |
Guogen Shan | University of Florida |
Contributed Talk |
Disease progression trajectory curves to estimate saved time in Alzheimer’s disease trials |
Guogen Shan | University of Florida |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 10:30-10:50 | 贡献报告 |
中国省域新质生产力的空间关联网络特征与驱动因素探究 |
何霁彤 | 内蒙古财经大学 |
Contributed Talk |
中国省域新质生产力的空间关联网络特征与驱动因素探究 |
Jitong He | Inner Mongolia University of Finance and Economics | ||
2 | 10:50-11:10 | 贡献报告 |
数字经济与共同富裕:促增长还是调分配 |
姜娇阳 | 吉林财经大学 |
Contributed Talk |
数字经济与共同富裕:促增长还是调分配 |
Jiaoyang Jiang | JiLin University of Finance and Economics | ||
3 | 11:10-11:30 | 贡献报告 |
加密货币系统拥堵会影响用户交易行为吗?基于比特币手续费替换策略的视角 |
陈 亚 | 合肥工业大学 |
Contributed Talk |
加密货币系统拥堵会影响用户交易行为吗?基于比特币手续费替换策略的视角 |
Ya Chen | Hefei University of Technology | ||
4 | 11:30-11:50 | 贡献报告 |
长三角地区数字经济产业链研究——基于投入产出表 |
林佳乐 | 吉林财经大学 |
Contributed Talk |
长三角地区数字经济产业链研究——基于投入产出表 |
Jiale Lin | Jilin University of Finance and Economics | ||
5 | 11:50-12:10 | 贡献报告 |
马尔可夫转移矩阵因子模型及其应用 |
袁超凤 | 黑龙江大学 |
Contributed Talk |
马尔可夫转移矩阵因子模型及其应用 |
Chaofeng Yuan | Heilongjiang University |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:50 | 贡献报告 |
Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior |
张如谦 | 复旦大学 |
Contributed Talk |
Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior |
Ruqian Zhang | Fudan University | ||
2 | 13:50-14:10 | 贡献报告 |
Statistical Inference with Generalized Estimating Equations in Longitudinal Studies following Covariate-adaptive Randomization |
傅睿辰 | 中国人民大学 |
Contributed Talk |
Generalized Estimating Equations in Longitudinal Data Analysis following Covariate-adaptive Randomization |
Ruichen Fu | Renmin University of China | ||
3 | 14:10-14:30 | 贡献报告 |
Improving Design and Normalization of Multiplex Proteomics Study |
方华英 | 首都师范大学 |
Contributed Talk |
Improving Design and Normalization of Multiplex Proteomics Study |
Huaying Fang | Capital Normal University | ||
4 | 14:30-14:50 | 贡献报告 |
Semiparametric and Interpretable Estimation of Heterogeneous Treatment Effects in Censored Data |
焦小奇 | 华东师范大学 |
Contributed Talk |
Semiparametric and Interpretable Estimation of Heterogeneous Treatment Effects in Censored Data |
Xiaoqi Jiao | East China Normal University | ||
5 | 14:50-15:10 | 贡献报告 |
Joint Modeling of Mixed Outcomes Using a Rank-Based Sparse Neural Network |
薛嘉靖 | 厦门大学 |
Contributed Talk |
Joint Modeling of Mixed Outcomes Using a Rank-Based Sparse Neural Network |
Jiajing Xue | Xiamen University |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-15:55 | 贡献报告 |
TWO-LEVEL ISOMORPHIC FOLDOVERS DESIGNS |
王春燕 | 中国人民大学 |
Contributed Talk |
TWO-LEVEL ISOMORPHIC FOLDOVERS DESIGNS |
Chunyan Wang | Renmin University of China | ||
2 | 15:55-16:20 | 贡献报告 |
Conformalized multiple testing with unknown null distribution. |
田 烊 | 浙江大学 |
Contributed Talk |
Conformalized multiple testing with unknown null distribution. |
Yang Tian | Zhejiang University | ||
3 | 16:20-16:45 | 贡献报告 |
多目标调查的分层MPPS平衡抽样方法研究 |
沈文静 | 天津财经大学 |
Contributed Talk |
多目标调查的分层MPPS平衡抽样方法研究 |
Wenjing Shen | Tianjin University of Finance and Economics | ||
4 | 16:45-17:10 | 贡献报告 |
半参数模型中未知参数的方向估计 |
韩金钺 | 东北师范大学数学与统计学院 |
Contributed Talk |
半参数模型中未知参数的方向估计 |
Jinyue Han | Northeast Normal University |