This workshop is co-organized by the Department of Statistics and Actuarial Science at HKU and the HKU Business School. We aim to bring together a few leading researchers in statistics and data science to discuss interesting researches and improve in-person interactions of the data science community.
Invited Speakers
Songxi Chen | Peking University | |
Jiashun Jin | Carnegie Mellon University | |
Regina Y. Liu | Rutgers University | |
Annie Qu | University of California, Irvine | |
Cunhui Zhang | Rutgers University | |
Ji Zhu | University of Michigan, Ann Arbor | |
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Programme and Abstracts (Updated on June 15, 2023)
Time | Title | Speaker |
08:30 - 09:00 | Registration |
09:00 - 09:10 | Opening |
09:10 - 10:00 | Statistical Inference on a Four-Regime Segmented Regression Model | Songxi Chen |
10:05 - 10:55 | A Model-Agnostic Graph Neural Network for Integrating Local and Global Information | Annie Qu |
10:55 - 11:20 | Coffee Break |
11:20 - 12:10 | The Statistical Triangle | Jiashun Jin |
12:10 - 14:30 | Lunch Break |
14:30 - 15:20 | Network Community Detection Using Higher-Order Structures | Ji Zhu |
15:25 - 16:15 | Optimality of Cp in the Scaled Lasso Path | Cunhui Zhang |
16:15 - 16:40 | Coffee Break |
16:40 - 17:30 | Prediction with Confidence – General Framework for Predictive Inference | Regina Y. Liu |
17:30 - 17:40 | Closing |
18:30 | Banquet (invitation only) |
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Registration is free, but we still need registration in order to properly arrange the logistics and workshop space. Please register here.
Registration deadline: June 28th, 23:59pm (HKT)
Accommodation and Transportation
Detailed information about accommodation, transportation and some useful links can be found here.
Zhanrui Cai | HKU Business School | |
Yuan Cao | Department of Statistics and Actuarial Science, HKU | |
Long Feng | Department of Statistics and Actuarial Science, HKU | |
Guodong Li | Department of Statistics and Actuarial Science, HKU | |
Haipeng Shen | HKU Business School | |
Weichen Wang | HKU Business School | |
Dan Yang | HKU Business School | |
Please feel free to email enquiries to sdaworkshop@hku.hk.
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