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2014 ICSA China Statistics Conference
作者: 日期:2014-05-07 点击量:

To attract statistical researchers and students in China and other countries to present their work and experience with statistical colleagues and to strengthen the connections between China and oversea statisticians, the 2014 ICSA China Statistics Conference will be organized by the Committee for ICSA Shanghai and hosted by East China Normal University (ECNU) from July 4 to July 5, 2014 in Shanghai,China.

The conference will invite lead statistical processionals in mainland China, Hong Kong, Taiwan, the United States, and worldwide to present their research work. It will cover a broad range of statistics including mathematical statistics, applied statistics, biostatistics, and statistics in finance and economics, which will provide a good platform for statistical professionals all over the world to share their latest research and applications of statistics. The invited speakers include Prof. LJ Wei (Harvard University), Prof. Tony Cai (University of Pennsylvania), Prof. Ying Lu (Stanford University), Prof. Ming-Hui Chen (University of Connecticut), Prof. Dan yu Lin (University of North Carolina at Chapel Hill), and other distinguished statisticians.

The oral presentations at the conference will be conducted in either English or Chinese. Although the Program Committee would recommend the presentation slides in English, the Chinese version of the slides could also be used.

The program committee is working on the conference program and more information will be distributed very soon. Should you have any inquiries about the program, please contact Dr. Dejun Tang (dejun.tang@novartis.com) or Dr. Yankun Gong (yankun.gong@novartis.com).

For conference registration and hotel reservation, please contact Prof. Shujin Wu at ECNU (sjwu@stat.ecnu.edu.cn).

Venue

East China Normal University

3663 N. Zhongshan Road

Shanghai, China

Conference Fees

Registration and Accommodation

For conference registration and hotel reservation, please contact Prof. Shujin Wu at ECNU (sjwu@stat.ecnu.edu.cn).

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