编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 08:30-08:55 | 邀请报告 |
Causal inference on distribution functions |
Dehan Kong | University of Toronto |
2 | 08:55-09:20 | 邀请报告 |
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling |
Yize Zhao | Yale University |
3 | 09:20-09:45 | 邀请报告 |
The promises of multiple outcomes |
Linbo Wang | University of Toronto |
4 | 09:45-10:10 | 邀请报告 |
Bayesian methods for brain-computer interfaces |
Jian Kang | University of Michigan |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 10:30-10:47 | 贡献报告 |
Efficient calibration of computer models with multivariate output |
孙 杨 | 北京大学 |
2 | 10:47-11:04 | 贡献报告 |
Effective model averaging for generalized linear models in diverging model spaces |
袁超霞 | 华东师范大学 |
3 | 11:04-11:21 | 贡献报告 |
lasso错误快速算法的更正及拓展研究 |
夏慧异 | 池州学院 |
4 | 11:21-11:38 | 贡献报告 |
A Scalable Gaussian Process for Large-Scale Periodic Data |
QIAN XIAO | University of Georgia |
5 | 11:38-11:54 | 贡献报告 |
Collapsibility of Conditional Models of CG-Graphical Models |
谢向东 | 东北师范大学 |
6 | 11:54-12:10 | 贡献报告 |
Gaussian mixture reduction with composite transportation divergence |
张 琼 | 中国人民大学统计与大数据研究院 |