编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 08:30-08:55 | 贡献报告 |
Integrated Bayesian non-parametric spatial modeling for cross-sample identification of spatially variable genes |
周 蒙 | 上海财经大学 |
Contributed Talk |
Integrated Bayesian non-parametric spatial modeling for cross-sample identification of spatially variable genes |
Meng Zhou | Shanghai University of Finance and Economics | ||
2 | 08:55-09:20 | 贡献报告 |
High-Dimensional Generalized Varying Coefficient Models with Longitudinal Covariates |
孙力喆 | 山西财经大学 |
Contributed Talk |
High-Dimensional Generalized Varying Coefficient Models with Longitudinal Covariates |
Lizhe Sun | Shanxi University of Finance and Economics | ||
3 | 09:20-09:45 | 贡献报告 |
Covariate-adjusted win statistics in randomized clinical trials with ordinal outcomes |
曹志强 | 深圳技术大学 |
Contributed Talk |
Covariate-adjusted win statistics in randomized clinical trials with ordinal outcomes |
Zhiqiang Cao | Shenzhen Technology University | ||
4 | 09:45-10:10 | 贡献报告 |
基于新型重分类指标评估新型预测因子对统计模型预测性能的提升效果 |
曹雅琦 | 中央民族大学 |
Contributed Talk |
基于新型重分类指标评估新型预测因子对统计模型预测性能的提升效果 |
Yaqi Cao | Minzu University of China |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 10:30-10:50 | 贡献报告 |
Semi-supervised D-Learning for Optimal Individual Treatment Regimes |
李鑫桐 | 华东师范大学 |
Contributed Talk |
Semi-supervised D-Learning for Optimal Individual Treatment Regimes |
Xintong Li | East China Normal University | ||
2 | 10:50-11:10 | 贡献报告 |
Revisiting the Phenolog Prediction Problem |
孙弘毅 | 清华大学 |
Contributed Talk |
Revisiting the Phenolog Prediction Problem |
Hongyi Sun | Tsinghua University | ||
3 | 11:10-11:30 | 贡献报告 |
Binary Regression and Classification with Covariates in Metric Spaces |
林一楠 | 重庆国家应用数学中心 |
Contributed Talk |
Binary Regression and Classification with Covariates in Metric Spaces |
Yinan Lin | National Center for Applied Mathematics in Chongqing | ||
4 | 11:30-11:50 | 贡献报告 |
Additive Deep Semiparametric Modeling for Case I Interval-Censored Data with Time-Dependent and Time-Independent Covariates |
赵佳琪 | 武汉大学数学与统计学院 |
Contributed Talk |
Additive Deep Semiparametric Modeling for Case I Interval-Censored Data with Time-Dependent and Time-Independent Covariates |
Jiaqi Zhao | School of Mathematics and Statistics, Wuhan University | ||
5 | 11:50-12:10 | 贡献报告 |
Associations of brain functional network with schizophrenia and bipolar disorder: A cross-disease bi-directional two-sample mendelian randomization study |
刘佳仪 | 湖南师范大学 |
Contributed Talk |
Associations of brain functional network with schizophrenia and bipolar disorder: A cross-disease bi-directional two-sample mendelian randomization study |
Jiayi Liu | Hunan Normal University |